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No files matched your search
+11
-2
@@ -1,9 +1,18 @@
|
||||
# python
|
||||
venv
|
||||
__pycache__
|
||||
# cable data folder(s)
|
||||
cables
|
||||
cables-sample.zip
|
||||
# meilisearch (mainly where I've put the data volume for the container)
|
||||
meili_data
|
||||
# IDE things
|
||||
.vscode
|
||||
output.log
|
||||
.idea
|
||||
# videos
|
||||
*.webm
|
||||
output.mp4
|
||||
# log files
|
||||
output.log
|
||||
cables-sample.zip
|
||||
# images
|
||||
*.png
|
||||
+11
@@ -0,0 +1,11 @@
|
||||
FROM python:latest
|
||||
|
||||
RUN apt-get update && apt-get install -y libgl1-mesa-glx ghostscript && apt-get clean && rm -rf /var/lib/apt/lists
|
||||
COPY . .
|
||||
#COPY config-server.yml config.yml
|
||||
RUN pip3 install -r requirements.txt
|
||||
|
||||
CMD ["python3", "run.py"]
|
||||
EXPOSE 5000
|
||||
EXPOSE 8000
|
||||
EXPOSE 9000
|
||||
+13
@@ -0,0 +1,13 @@
|
||||
services:
|
||||
meilisearch:
|
||||
image: "getmeili/meilisearch:v1.6.2"
|
||||
ports:
|
||||
- "7700:7700"
|
||||
environment:
|
||||
MEILI_MASTER_KEY: fluffybunnyrabbit
|
||||
MEILI_NO_ANALYTICS: true
|
||||
volumes:
|
||||
- "meili_data:/meili_data"
|
||||
|
||||
volumes:
|
||||
meili_data:
|
||||
+117
-7
@@ -32,13 +32,13 @@ led:
|
||||
ledstart: 288
|
||||
ledend: 431
|
||||
mode: rgb
|
||||
- universe: 1
|
||||
ip: 192.168.68.130
|
||||
- universe: 4
|
||||
ip: 192.168.5.40
|
||||
ledstart: 432
|
||||
ledend: 575
|
||||
mode: rgb
|
||||
- universe: 4
|
||||
ip: 192.168.68.131
|
||||
- universe: 1
|
||||
ip: 192.168.5.4
|
||||
ledstart: 576
|
||||
ledend: 719
|
||||
mode: rgb
|
||||
@@ -159,7 +159,7 @@ led:
|
||||
size: 24
|
||||
diameter: 63.5
|
||||
angle: 0
|
||||
pos: [-65.936, 114.3]
|
||||
pos: [-65.991, 114.3]
|
||||
- type: circle
|
||||
start: 336
|
||||
size: 24
|
||||
@@ -420,6 +420,116 @@ led:
|
||||
size: 70
|
||||
length: 600
|
||||
angle: 270 # down
|
||||
pos: [300, 300]
|
||||
pos: [375, 300]
|
||||
|
||||
|
||||
global_position_offset: [0,0] # default coordinate spce below as center of arm at 0,0 - adjust if necessary
|
||||
animation_time: 40
|
||||
position_map:
|
||||
- index: 0
|
||||
pos: [-152.4, 263.965]
|
||||
- index: 1
|
||||
pos: [-76.2, 263.965]
|
||||
- index: 2
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||||
pos: [0, 263.965]
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||||
- index: 3
|
||||
pos: [76.2, 263.965]
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||||
- index: 4
|
||||
pos: [152.4, 263.965]
|
||||
- index: 5
|
||||
pos: [-190.5, 197.973]
|
||||
- index: 6
|
||||
pos: [-114.3, 197.973]
|
||||
- index: 7
|
||||
pos: [-38.1, 197.973]
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||||
- index: 8
|
||||
pos: [38.1, 197.973]
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||||
- index: 9
|
||||
pos: [114.3, 197.973]
|
||||
- index: 10
|
||||
pos: [190.5, 197.973]
|
||||
- index: 11
|
||||
pos: [-228.6, 131.982]
|
||||
- index: 12
|
||||
pos: [-152.4, 131.982]
|
||||
- index: 13
|
||||
pos: [-76.2, 131.982]
|
||||
- index: 14
|
||||
pos: [0, 131.982]
|
||||
- index: 15
|
||||
pos: [76.2, 131.982]
|
||||
- index: 16
|
||||
pos: [152.4, 131.982]
|
||||
- index: 17
|
||||
pos: [228.6, 131.982]
|
||||
- index: 18
|
||||
pos: [-266.7, 65.991]
|
||||
- index: 19
|
||||
pos: [-190.5, 65.991]
|
||||
- index: 20
|
||||
pos: [-114.3, 65.991]
|
||||
- index: 21
|
||||
pos: [114.3, 65.991]
|
||||
- index: 22
|
||||
pos: [190.5, 65.991]
|
||||
- index: 23
|
||||
pos: [266.7, 65.991]
|
||||
- index: 24
|
||||
pos: [-304.8, 0]
|
||||
- index: 25
|
||||
pos: [-228.6, 0]
|
||||
- index: 26
|
||||
pos: [-152.4, 0]
|
||||
- index: 27
|
||||
pos: [152.4, 0]
|
||||
- index: 28
|
||||
pos: [228.6, 0]
|
||||
- index: 29
|
||||
pos: [304.8, 0]
|
||||
- index: 30
|
||||
pos: [-266.7, -65.991]
|
||||
- index: 31
|
||||
pos: [-190.5, -65.991]
|
||||
- index: 32
|
||||
pos: [-114.3, -65.991]
|
||||
- index: 33
|
||||
pos: [114.3, -65.991]
|
||||
- index: 34
|
||||
pos: [190.5, -65.991]
|
||||
- index: 35
|
||||
pos: [266.7, -65.991]
|
||||
- index: 36
|
||||
pos: [-228.6, -131.982]
|
||||
- index: 37
|
||||
pos: [-152.4, -131.982]
|
||||
- index: 38
|
||||
pos: [-76.2, -131.982]
|
||||
- index: 39
|
||||
pos: [0, -131.982]
|
||||
- index: 40
|
||||
pos: [76.2, -131.982]
|
||||
- index: 41
|
||||
pos: [152.4, -131.982]
|
||||
- index: 42
|
||||
pos: [228.6, -131.982]
|
||||
- index: 43
|
||||
pos: [-190.5, -197.973]
|
||||
- index: 44
|
||||
pos: [-114.3, -197.973]
|
||||
- index: 45
|
||||
pos: [-38.1, -197.973]
|
||||
- index: 46
|
||||
pos: [38.1, -197.973]
|
||||
- index: 47
|
||||
pos: [114.3, -197.973]
|
||||
- index: 48
|
||||
pos: [190.5, -197.973]
|
||||
- index: 49
|
||||
pos: [-152.4, -263.965]
|
||||
- index: 50
|
||||
pos: [-76.2, -263.965]
|
||||
- index: 51
|
||||
pos: [0, -263.965]
|
||||
- index: 52
|
||||
pos: [76.2, -263.965]
|
||||
- index: 53
|
||||
pos: [152.4, -263.965]
|
||||
-140
@@ -1,140 +0,0 @@
|
||||
"""This module contains functionality for interacting with a PostgreSQL database. It will automatically handle error
|
||||
conditions (i.e. missing columns) without terminating the entire program. Use the :py:class:`DBConnector` class to
|
||||
handle database interactions, either as a standalone object or in a context manager."""
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import psycopg2
|
||||
from psycopg2 import DatabaseError, OperationalError
|
||||
from psycopg2.errors import UndefinedColumn
|
||||
|
||||
DB_ADDRESS = os.getenv('DB_ADDRESS', 'localhost')
|
||||
DB_PORT = os.getenv('DB_PORT', 5432)
|
||||
DB_USER = os.getenv('DB_USER', 'postgres')
|
||||
DB_PASSWORD = os.getenv('DB_PASSWORD', '')
|
||||
DB_NAME = os.getenv('DB_NAME', 'postgres')
|
||||
DB_TABLE = os.getenv('DB_TABLE', 'cables')
|
||||
|
||||
|
||||
class DBConnector:
|
||||
"""Context managed database class. Use with statements to automatically open and close the database connection, like
|
||||
so:
|
||||
|
||||
.. code-block:: python
|
||||
with DBConnector() as db:
|
||||
db.read()
|
||||
"""
|
||||
|
||||
def _db_start(self):
|
||||
"""Setup the database connection and cursor."""
|
||||
try:
|
||||
self.conn = psycopg2.connect(
|
||||
f"host={DB_ADDRESS} port={DB_PORT} dbname={DB_NAME} user={DB_USER} password={DB_PASSWORD}")
|
||||
self.cur = self.conn.cursor()
|
||||
except OperationalError as e:
|
||||
raise e
|
||||
|
||||
def _db_stop(self):
|
||||
"""Close the cursor and connection."""
|
||||
self.cur.close()
|
||||
self.conn.close()
|
||||
|
||||
def __init__(self):
|
||||
self._db_start()
|
||||
|
||||
def __del__(self):
|
||||
self._db_stop()
|
||||
|
||||
def __enter__(self):
|
||||
self._db_start()
|
||||
|
||||
def __exit__(self):
|
||||
self._db_stop()
|
||||
|
||||
def _get_cols(self) -> set[str]:
|
||||
"""Get the list of columns in the database.
|
||||
|
||||
:return: A list of column names."""
|
||||
query = f"select COLUMN_NAME from information_schema.columns where table_name={DB_TABLE}"
|
||||
rows = {x["COLUMN_NAME"] for x in self._query(query)}
|
||||
return rows
|
||||
|
||||
def _column_parity(self, columns: list[str] | set[str]) -> set[str]:
|
||||
"""If the listed columns are not in the database, add them.
|
||||
|
||||
:param columns: The columns we expect are in the database.
|
||||
:return: The list of columns in the database after querying."""
|
||||
cols = set(columns)
|
||||
existing = self._get_cols()
|
||||
needs = cols.difference(existing.intersection(cols))
|
||||
if len(needs) > 0:
|
||||
query = f"ALTER TABLE {DB_TABLE} {', '.join([f'ADD COLUMN {c}' for c in needs])}"
|
||||
self._query(query)
|
||||
existing = self._get_cols()
|
||||
return existing
|
||||
|
||||
def _query(self, sql) -> list[dict]:
|
||||
"""Basic function for running queries.
|
||||
|
||||
:param sql: SQL query as plaintext.
|
||||
:return: Results of the query, or an empty list if none."""
|
||||
result = []
|
||||
try:
|
||||
self.cur.execute(sql)
|
||||
result = self._read_dict()
|
||||
except DatabaseError as e:
|
||||
print(f"ERROR {e.pgcode}: {e.pgerror}\n"
|
||||
f"Caused by query: {sql}")
|
||||
finally:
|
||||
return result
|
||||
|
||||
def _read_dict(self) -> list[dict]:
|
||||
"""Read the cursor as a list of dictionaries. psycopg2 defaults to using a list of tuples, so we want to convert
|
||||
each row into a dictionary before we return it."""
|
||||
cols = [i.name for i in self.cur.description]
|
||||
results = []
|
||||
for row in self.cur:
|
||||
row_dict = {}
|
||||
for i in range(0, len(row)):
|
||||
if row[i]:
|
||||
row_dict = {**row_dict, cols[i]: row[i]}
|
||||
results.append(row_dict)
|
||||
return results
|
||||
|
||||
def read(self, **kwargs) -> list[dict]:
|
||||
"""Read rows from a database that match the specified filters.
|
||||
|
||||
:param kwargs: Column constraints; i.e. what value to filter by in what column.
|
||||
:returns: A list of dictionaries of all matching rows, or an empty list if no match."""
|
||||
args = []
|
||||
for kw in kwargs.keys():
|
||||
args.append(f"{kw} ILIKE {kwargs['kw']}")
|
||||
query = f"SELECT * FROM {DB_TABLE}"
|
||||
if len(args) > 0:
|
||||
query += f" WHERE {' AND '.join(args)}"
|
||||
return self._query(query)
|
||||
|
||||
def write(self, **kwargs) -> dict:
|
||||
"""Write a row to the database.
|
||||
|
||||
:param kwargs: Values to write for each database; specify each column separately!
|
||||
:returns: The row you just added."""
|
||||
self._column_parity(set(kwargs.keys()))
|
||||
values = []
|
||||
for val in kwargs.keys():
|
||||
values.append(kwargs[val])
|
||||
query = f"INSERT INTO {DB_TABLE} ({', '.join(kwargs.keys())}) VALUES ({', '.join(values)})"
|
||||
self._query(query)
|
||||
return kwargs
|
||||
|
||||
def write_all(self, items: list[dict]) -> list[dict]:
|
||||
"""Write multiple rows to the database.
|
||||
|
||||
:param items: Rows to write, as a list of dictionaries.
|
||||
:returns: The rows that were added successfully."""
|
||||
successes = []
|
||||
for i in items:
|
||||
res0 = self.write(**i)
|
||||
if res0:
|
||||
successes.append(res0)
|
||||
return successes
|
||||
+248
-67
@@ -5,7 +5,7 @@ import sys
|
||||
import read_datasheet
|
||||
from alive_progress import alive_bar
|
||||
import requests
|
||||
#import time
|
||||
import time
|
||||
import json
|
||||
import subprocess
|
||||
from util import fprint
|
||||
@@ -26,38 +26,123 @@ def check_internet(url='https://belden.com', timeout=5):
|
||||
|
||||
|
||||
|
||||
def query_search(partnum):
|
||||
"""token_url = "https://www.belden.com/coveo/rest/token?t=" + str(int(time.time()))
|
||||
with requests.get(token_url) as r:
|
||||
out = json.loads(r.content)
|
||||
token = out["token"]
|
||||
search_url = "https://www.belden.com/coveo/rest/search"
|
||||
search_data ='{ "q": "' + str(partnum) + '", "sortCriteria": "relevancy", "numberOfResults": "250", "sortCriteria": "@catalogitemwebdisplaypriority ascending", "searchHub": "products-only-search", "pipeline": "Site Search", "maximumAge": "900000", "tab": "products-search", "locale": "en" }'
|
||||
#"aq": "", "cq": "((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\\"Coveo_web_index - rg-nc-prod-sitecore-prod\\")) OR (@source==(\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\",\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\"))", "firstResult": "0", "categoryFacets": "[{\\"field\\":\\"@catalogitemcategories\\",\\"path\\":[],\\"injectionDepth\\":1000,\\"maximumNumberOfValues\\":6,\\"delimitingCharacter\\":\\"|\\"}]", "facetOptions": "{}", "groupBy": "" }'
|
||||
#fprint(search_data)
|
||||
fprint(json.loads(search_data))
|
||||
#search_data = '{ "q": "' + str(partnum) + '" }'
|
||||
fprint(search_data)
|
||||
headers = headers = {
|
||||
'Authorization': f'Bearer {token}',
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
with requests.post(search_url, headers=headers, data=search_data) as r:
|
||||
fprint(r.text)"""
|
||||
|
||||
# TODO: Reimplement in python
|
||||
# Bash script uses some crazy json formatting that I could not figure out
|
||||
# Despite the fact that I wrote it
|
||||
# So I'll just leave it, becuase it works.
|
||||
def query_search(partnum, source):
|
||||
if source == "Belden":
|
||||
token_url = "https://www.belden.com/coveo/rest/token?t=" + str(int(time.time()))
|
||||
with requests.get(token_url) as r:
|
||||
out = json.loads(r.content)
|
||||
token = out["token"]
|
||||
search_url = "https://www.belden.com/coveo/rest/search"
|
||||
|
||||
command = ["./query-search.sh", partnum]
|
||||
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
|
||||
if result.returncode != 0: # error
|
||||
fprint("No results found in search database for " + partnum + ". No hi-res part image available.", result.stderr)
|
||||
# Ridiculous search parameters extracted from website. Do not touch
|
||||
search_data = r"""{ "q": "{QUERY}", "sortCriteria": "relevancy", "numberOfResults": "250", "sortCriteria": "@catalogitemwebdisplaypriority ascending", "searchHub": "products-only-search", "pipeline": "Site Search", "maximumAge": "900000", "tab": "products-search", "locale": "en", "aq": "(NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B)) ((@syssource==\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\" @catalogitemprimarycategorypublished==true)) ((@catalogitemregionavailable=Global) (@z95xlanguage==en))", "cq": "((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\"Coveo_web_index - rg-nc-prod-sitecore-prod\")) OR (@source==(\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\",\"website_001002_Category_index-rg-nc-prod-sitecore-prod\"))", "firstResult": "0" }, "categoryFacets": "[{\"field\":\"@catalogitemcategories\",\"path\":[],\"injectionDepth\":1000,\"maximumNumberOfValues\":6,\"delimitingCharacter\":\"|\"}]", "facetOptions": "{}", "groupBy": " [{\"field\":\"@contenttype\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[\"Products\"],\"queryOverride\":\"{QUERY}\",\"advancedQueryOverride\":\"(NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B)) ((((((((@z95xpath=3324AF2D58F64C0FB725521052F679D2 @z95xid<>3324AF2D58F64C0FB725521052F679D2) ((@z95xpath=C292F3A37B3A4E6BAB345DF87ADDE516 @z95xid<>C292F3A37B3A4E6BAB345DF87ADDE516) @z95xtemplate==E4EFEB787BDC4B1A908EFC64D56CB2A4)) OR ((@z95xpath=723501A864754FEEB8AE377E4C710271 @z95xid<>723501A864754FEEB8AE377E4C710271) ((@z95xpath=600114EAB0E5407A84AAA9F0985B6575 @z95xid<>600114EAB0E5407A84AAA9F0985B6575) @z95xtemplate==2BE4FD6B3B2C49EBBD9E1F6C92238B05))) OR (@syssource==\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\" @catalogitemprimarycategorypublished==true)) OR ((@z95xpath=3324AF2D58F64C0FB725521052F679D2 @z95xid<>3324AF2D58F64C0FB725521052F679D2) @z95xpath<>C292F3A37B3A4E6BAB345DF87ADDE516)) OR @syssource==\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\") NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B))) ((@catalogitemregionavailable=Global) (@z95xlanguage==en) OR (@contenttype=(Blogs,Resources,Other)) (NOT @ez120xcludefromcoveo==1))\",\"constantQueryOverride\":\"((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\\"Coveo_web_index - rg-nc-prod-sitecore-prod\\")) OR (@source==(\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\",\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\"))\"},{\"field\":\"@catalogitembrand\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@catalogitemenvironment\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@catalogitemregionalavailability\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@prez45xtez120xt\",\"maximumNumberOfValues\":5,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@tags\",\"maximumNumberOfValues\":4,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetassettype\",\"maximumNumberOfValues\":3,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetbrand\",\"maximumNumberOfValues\":3,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetmarket\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetsolution\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetsearchcontentpagetype\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]}]" }"""
|
||||
search_data = search_data.replace(r"{QUERY}", partnum)
|
||||
#"aq": "", "cq": "((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\\"Coveo_web_index - rg-nc-prod-sitecore-prod\\")) OR (@source==(\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\",\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\"))", "firstResult": "0", "categoryFacets": "[{\\"field\\":\\"@catalogitemcategories\\",\\"path\\":[],\\"injectionDepth\\":1000,\\"maximumNumberOfValues\\":6,\\"delimitingCharacter\\":\\"|\\"}]", "facetOptions": "{}", "groupBy": "" }'
|
||||
#fprint(search_data)
|
||||
#fprint(json.loads(search_data))
|
||||
#search_data = '{ "q": "' + str(partnum) + '" }'
|
||||
#fprint(search_data)
|
||||
headers = headers = {
|
||||
'Authorization': f'Bearer {token}',
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
try:
|
||||
with requests.post(search_url, headers=headers, data=search_data) as r:
|
||||
a = r.text
|
||||
a = json.loads(a)
|
||||
idx = -1
|
||||
name = ""
|
||||
for partid in range(len(a["results"])):
|
||||
name = a["results"][partid]["title"]
|
||||
if name != partnum:
|
||||
if name.find(partnum) >= 0:
|
||||
idx = partid
|
||||
break
|
||||
elif partnum.find(name) >= 0:
|
||||
idx = partid
|
||||
break
|
||||
|
||||
else:
|
||||
idx = partid
|
||||
break
|
||||
|
||||
if idx < 0:
|
||||
fprint("Could not find part in API: " + partnum)
|
||||
return False
|
||||
fprint("Search result found: result " + str(idx) + ", for ID " + name)
|
||||
#urlname = a["results"][0]["raw"]["catalogitemurlname"]
|
||||
img = a["results"][idx]["raw"]["catalogitemimageurl"]
|
||||
img = img[0:img.index("?")]
|
||||
uri = a["results"][idx]["raw"]["clickableuri"]
|
||||
dsid = a["results"][idx]["raw"]["catalogitemdatasheetid"]
|
||||
brand = a["results"][idx]["raw"]["catalogitembrand"]
|
||||
desc = a["results"][idx]["raw"]["catalogitemlongdesc"]
|
||||
shortdesc = a["results"][idx]["raw"]["catalogitemshortdesc"]
|
||||
a = json.dumps(a["results"][idx], indent=2)
|
||||
#print(a, urlname, img, uri, dsurl)
|
||||
|
||||
out = dict()
|
||||
out["url"] = "https://www.belden.com/products/" + uri
|
||||
out["datasheet"] = "https://catalog.belden.com/techdata/EN/" + dsid + "_techdata.pdf"
|
||||
out["brand"] = brand
|
||||
out["name"] = shortdesc
|
||||
out["description"] = desc
|
||||
out["image"] = "https://www.belden.com" + img
|
||||
out["partnum"] = name
|
||||
#print(out)
|
||||
return out
|
||||
except:
|
||||
print("falied to search with API. Falling back to datasheet lookup.")
|
||||
return False
|
||||
|
||||
|
||||
# Original bash script
|
||||
# superceded by above
|
||||
if source == "Belden_shell":
|
||||
command = ["./query-search.sh", partnum]
|
||||
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
|
||||
if result.returncode != 0: # error
|
||||
fprint("No results found in search database for " + partnum + ". No hi-res part image available.", result.stderr)
|
||||
return False
|
||||
else:
|
||||
data_out = json.loads(result.stdout)
|
||||
return data_out
|
||||
elif source == "Alphawire":
|
||||
alphaurl = "https://www.alphawire.com//sxa/search/results/?l=en&s={4A774076-6068-460C-9CC6-A2D8E85E407F}&itemid={BF82F58C-EFD9-4D8B-AE3E-097DD12CF7DA}&sig=&autoFireSearch=true&productpartnumber=*" + partnum + "*&v={B22CD56D-AB95-4048-8AA1-5BBDF2F2D17F}&p=10&e=0&o=ProductPartNumber%2CAscending"
|
||||
r = requests.get(url=alphaurl)
|
||||
data = r.json()
|
||||
output = dict()
|
||||
#print(data)
|
||||
try:
|
||||
if data["Count"] > 0:
|
||||
#print(data["Results"][0]["Url"])
|
||||
for result in data["Results"]:
|
||||
if result["Url"].split("/")[-1] == partnum:
|
||||
#print(partnum)
|
||||
#print(result["Html"])
|
||||
try:
|
||||
imgidx = result["Html"].index("<img src=") + 10
|
||||
imgidx2 = result["Html"].index("?", imgidx)
|
||||
output["image"] = result["Html"][imgidx:imgidx2]
|
||||
if output["image"].index("http") != 0:
|
||||
output["image"] = ""
|
||||
print("No cable image found.")
|
||||
except:
|
||||
print("No cable image found.")
|
||||
|
||||
dsidx = result["Html"].index("<a href=\"/disteAPI/") + 9
|
||||
dsidx2 = result["Html"].index(partnum, dsidx) + len(partnum)
|
||||
output["datasheet"] = "https://www.alphawire.com" + result["Html"][dsidx:dsidx2]
|
||||
output["partnum"] = partnum
|
||||
#"test".index()
|
||||
#print(output)
|
||||
return output
|
||||
|
||||
|
||||
except:
|
||||
return False
|
||||
return False
|
||||
else:
|
||||
data_out = json.loads(result.stdout)
|
||||
return data_out
|
||||
|
||||
|
||||
def touch(path):
|
||||
with open(path, 'a'):
|
||||
@@ -65,7 +150,7 @@ def touch(path):
|
||||
|
||||
|
||||
|
||||
def get_multi(partnums):
|
||||
def get_multi(partnums, delay=0.25):
|
||||
with alive_bar(len(partnums) * 2, dual_line=True, calibrate=30, bar="classic2", spinner="classic") as bar:
|
||||
|
||||
def _try_download_datasheet(partnum, output_dir): # Guess datasheet URL
|
||||
@@ -126,7 +211,7 @@ def get_multi(partnums):
|
||||
sys.exit()
|
||||
|
||||
|
||||
def _download_image(url, output_dir): # Download datasheet with known URL
|
||||
def _download_image(url, output_dir): # Download image with known URL
|
||||
global bartext
|
||||
|
||||
#fprint(url)
|
||||
@@ -151,25 +236,32 @@ def get_multi(partnums):
|
||||
os.remove(partnum + "/datasheet.pdf")
|
||||
sys.exit()
|
||||
|
||||
def __use_cached_datasheet(partnum, path, output_dir):
|
||||
def __use_cached_datasheet(partnum, path, output_dir, dstype):
|
||||
fprint("Using cached datasheet for " + partnum)
|
||||
bar.text = "Using cached datasheet for " + partnum
|
||||
bar(skipped=True)
|
||||
fprint("Parsing Datasheet contents of " + partnum)
|
||||
bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
|
||||
read_datasheet.parse(path, output_dir)
|
||||
bar(skipped=False)
|
||||
if not os.path.exists(output_dir + "/parsed"):
|
||||
|
||||
fprint("Parsing Datasheet contents of " + partnum)
|
||||
bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
|
||||
|
||||
read_datasheet.parse(path, output_dir, partnum, dstype)
|
||||
bar(skipped=False)
|
||||
else:
|
||||
fprint("Datasheet already parsed for " + partnum)
|
||||
bar.text = "Datasheet already parsed for " + partnum + ".pdf"
|
||||
bar(skipped=True)
|
||||
|
||||
def __downloaded_datasheet(partnum, path, output_dir):
|
||||
def __downloaded_datasheet(partnum, path, output_dir, dstype):
|
||||
fprint("Downloaded " + path)
|
||||
bar.text = "Downloaded " + path
|
||||
bar(skipped=False)
|
||||
fprint("Parsing Datasheet contents of " + partnum)
|
||||
bar.text = "Parsing Datasheet contents of " + partnum + ".pdf..."
|
||||
read_datasheet.parse(path, output_dir)
|
||||
read_datasheet.parse(path, output_dir, partnum, dstype)
|
||||
bar(skipped=False)
|
||||
|
||||
for partnum in partnums:
|
||||
def run_search(partnum):
|
||||
output_dir = "cables/" + partnum
|
||||
path = output_dir + "/datasheet.pdf"
|
||||
bartext = "Downloading files for part " + partnum
|
||||
@@ -177,10 +269,16 @@ def get_multi(partnums):
|
||||
#
|
||||
if (not os.path.exists(output_dir + "/found_part_hires")) or not (os.path.exists(path) and os.path.getsize(path) > 1):
|
||||
# Use query
|
||||
search_result = query_search(partnum.replace(" ", ""))
|
||||
search_result = query_search(partnum, dstype)
|
||||
# Try to use belden.com search
|
||||
if search_result is not False:
|
||||
# Download high resolution part image if available and needed
|
||||
partnum = search_result["partnum"]
|
||||
output_dir = "cables/" + partnum
|
||||
path = output_dir + "/datasheet.pdf"
|
||||
bartext = "Downloading files for part " + partnum
|
||||
bar.text = bartext
|
||||
|
||||
if not os.path.exists(output_dir + "/found_part_hires"):
|
||||
if _download_image(search_result["image"], output_dir):
|
||||
fprint("Downloaded hi-res part image for " + partnum)
|
||||
@@ -190,31 +288,62 @@ def get_multi(partnums):
|
||||
|
||||
# Download datasheet from provided URL if needed
|
||||
if os.path.exists(path) and os.path.getsize(path) > 1:
|
||||
__use_cached_datasheet(partnum, path, output_dir)
|
||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||
|
||||
elif _download_datasheet(search_result["datasheet"], output_dir) is not False:
|
||||
__downloaded_datasheet(partnum, path, output_dir)
|
||||
__downloaded_datasheet(partnum, path, output_dir, dstype)
|
||||
|
||||
elif os.path.exists(path) and os.path.getsize(path) > 1:
|
||||
__use_cached_datasheet(partnum, path, output_dir)
|
||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||
|
||||
# If search fails, and we don't already have the datasheet, guess datasheet URL and skip the hires image download
|
||||
elif _try_download_datasheet(partnum, output_dir) is not False:
|
||||
__downloaded_datasheet(partnum, path, output_dir)
|
||||
__downloaded_datasheet(partnum, path, output_dir, dstype)
|
||||
|
||||
# Failed to download with search or guess :(
|
||||
else:
|
||||
return False
|
||||
return True
|
||||
|
||||
# We already have a hi-res image and the datasheet - perfect!
|
||||
else:
|
||||
fprint("Using cached hi-res part image for " + partnum)
|
||||
__use_cached_datasheet(partnum, path, output_dir, dstype)
|
||||
return True
|
||||
|
||||
for fullpartnum in partnums:
|
||||
if fullpartnum[0:2] == "BL": # catalog.belden.com entry
|
||||
partnum = fullpartnum[2:]
|
||||
dstype = "Belden"
|
||||
elif fullpartnum[0:2] == "AW":
|
||||
partnum = fullpartnum[2:]
|
||||
dstype = "Alphawire"
|
||||
else:
|
||||
dstype = "Belden" # guess
|
||||
partnum = fullpartnum
|
||||
if not run_search(partnum):
|
||||
success = False
|
||||
if len(partnum.split(" ")) > 1:
|
||||
for name in partnum.split(" "):
|
||||
fprint("Retrying with alternate name: " + name)
|
||||
if(run_search(name)):
|
||||
success = True
|
||||
break
|
||||
time.sleep(delay)
|
||||
if not success:
|
||||
namestripped = partnum.strip(" ")
|
||||
fprint("Retrying with alternate name: " + namestripped)
|
||||
if(run_search(namestripped)):
|
||||
success = True
|
||||
time.sleep(delay)
|
||||
if not success:
|
||||
fprint("Failed to download datasheet for part " + partnum)
|
||||
bar.text = "Failed to download datasheet for part " + partnum
|
||||
failed.append(partnum)
|
||||
bar(skipped=True)
|
||||
bar(skipped=True)
|
||||
|
||||
# We already have a hi-res image and the datasheet - perfect!
|
||||
else:
|
||||
fprint("Using cached hi-res part image for " + partnum)
|
||||
__use_cached_datasheet(partnum, path, output_dir)
|
||||
|
||||
time.sleep(delay)
|
||||
|
||||
if len(failed) > 0:
|
||||
fprint("Failed to download:")
|
||||
for partnum in failed:
|
||||
@@ -227,21 +356,73 @@ def get_multi(partnums):
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
partnums = ["10GXS12", "RST 5L-RKT 5L-949",
|
||||
"10GXS13",
|
||||
"10GXW12",
|
||||
"10GXW13",
|
||||
"2412",
|
||||
"2413",
|
||||
"OSP6AU",
|
||||
"FI4D024P9",
|
||||
"FISD012R9",
|
||||
"FDSD012A9",
|
||||
"FSSL024NG",
|
||||
"FISX006W0",
|
||||
"FISX00103",
|
||||
"C6D1100007"
|
||||
# partnums = ["BLFISX012W0", "BL7958A", "BL10GXS12", "BLRST 5L-RKT 5L-949",
|
||||
# "BL10GXS13",
|
||||
# "BL10GXW12",
|
||||
# "BL10GXW13",
|
||||
# "BL2412",
|
||||
# "BL2413",
|
||||
# "BLOSP6AU",
|
||||
# "BLFI4D024P9",
|
||||
# "BLFISD012R9",
|
||||
# "BLFDSD012A9",
|
||||
# "BLFSSL024NG",
|
||||
# "BLFISX006W0",
|
||||
# "BLFISX00103",
|
||||
# "BLC6D1100007"
|
||||
# ]
|
||||
partnums = [
|
||||
# Actual cables in Jukebox
|
||||
"AW86104CY",
|
||||
"AW3050",
|
||||
"AW6714",
|
||||
"AW1172C",
|
||||
"AW2211/4",
|
||||
|
||||
"BLTF-1LF-006-RS5N",
|
||||
"BLTF-SD9-006-RI5N",
|
||||
"BLTT-SLG-024-HTNN",
|
||||
"BLFISX012W0",
|
||||
"BLFI4X012W0",
|
||||
"BLSPE101 006Q",
|
||||
"BLSPE102 006Q",
|
||||
"BL7922A 010Q",
|
||||
"BL7958A 008Q",
|
||||
"BLIOP6U 010Q",
|
||||
"BL10GXW13 D15Q",
|
||||
"BL10GXW53 D15Q",
|
||||
"BL29501F 010Q",
|
||||
"BL29512 010Q",
|
||||
"BL3106A 010Q",
|
||||
"BL9841 060Q",
|
||||
"BL3105A 010Q",
|
||||
"BL3092A 010Q",
|
||||
"BL8760 060Q",
|
||||
"BL6300UE 008Q",
|
||||
"BL6300FE 009Q",
|
||||
"BLRA500P 006Q",
|
||||
|
||||
|
||||
# Some ones I picked, including some invalid ones
|
||||
"BL10GXS12",
|
||||
"BLRST 5L-RKT 5L-949",
|
||||
"BL10GXS13",
|
||||
"BL10GXW12",
|
||||
"BL10GXW13",
|
||||
"BL2412",
|
||||
"BL2413",
|
||||
"BLOSP6AU",
|
||||
"BLFI4D024P9",
|
||||
"BLFISD012R9",
|
||||
"BLFDSD012A9",
|
||||
"BLFSSL024NG",
|
||||
"BLFISX006W0",
|
||||
"BLFISX00103",
|
||||
"BLC6D1100007"
|
||||
|
||||
]
|
||||
get_multi(partnums)
|
||||
#query_search("86104CY", "Alphawire")
|
||||
get_multi(partnums, 0.25)
|
||||
#query_search("10GXS13", "Belden")
|
||||
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
#!/bin/sh
|
||||
# change this to #!/bin/bash for windows
|
||||
|
||||
if ! [ -d "venv" ]; then
|
||||
./venv-setup.sh
|
||||
|
||||
@@ -0,0 +1,359 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Inverse Kinematics Simulation"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from scipy.optimize import fsolve\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"import math\n",
|
||||
"import numpy as np"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Polar coordinate functions"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def cartesian_to_polar(x, y):\n",
|
||||
" r = np.sqrt(x**2 + y**2)\n",
|
||||
" theta = np.arctan2(y, x)\n",
|
||||
" return r, theta\n",
|
||||
"\n",
|
||||
"def polar_to_cartesian(r, theta):\n",
|
||||
" x = r * np.cos(theta)\n",
|
||||
" y = r * np.sin(theta)\n",
|
||||
" return x, y"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Calculate end-joint values from xyz position"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 157,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[45.0, 90.70951422006029, 110.71500355039022, -20.005489330329944]\n",
|
||||
"[45.0, -90.70951422006029, 110.71500355039022, -110.00548933032994]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def normalize_degree(theta):\n",
|
||||
" # Normalizes degree theta from -1.5pi to 1.5pi\n",
|
||||
" multiplier = 1.5\n",
|
||||
" normalized_theta = theta % (math.pi * multiplier)\n",
|
||||
" \n",
|
||||
" # Maintain the negative sign if the original angle is negative\n",
|
||||
" if theta < 0:\n",
|
||||
" normalized_theta -= math.pi * multiplier\n",
|
||||
"\n",
|
||||
" # Return angle\n",
|
||||
" return normalized_theta\n",
|
||||
"\n",
|
||||
"def get_joints_from_xyz_rel(x, y, z, initial_guess = (math.pi/2, math.pi/2, 0), limbs=(.422864, .359041, .092124)):\n",
|
||||
" # Get polar coordinates of x,y pair\n",
|
||||
" r, theta = cartesian_to_polar(x, y)\n",
|
||||
" \n",
|
||||
" # Get length of each limb\n",
|
||||
" l1, l2, l3 = limbs\n",
|
||||
" \n",
|
||||
" # Formulas to find out joint positions for (r, z)\n",
|
||||
" def inv_kin_r_z(p):\n",
|
||||
" a, b, c = p\n",
|
||||
"\n",
|
||||
" return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r\n",
|
||||
" l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - z, # z\n",
|
||||
" a-b-c) # wrist angle\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" # Normalize angles\n",
|
||||
" base, shoulder, elbow, wrist = [normalize_degree(deg) for deg in [theta, *fsolve(inv_kin_r_z, initial_guess)]]\n",
|
||||
"\n",
|
||||
" # Return result\n",
|
||||
" return base, shoulder, elbow, wrist\n",
|
||||
"\n",
|
||||
"def get_joints_from_xyz_abs(x, y, z):\n",
|
||||
" joints = get_joints_from_xyz_rel(x, y, z)\n",
|
||||
"\n",
|
||||
" # Joint offsets\n",
|
||||
" # Base, Shoulder, Elbow, Wrist\n",
|
||||
" inverse = [1, -1, 1, 1]\n",
|
||||
" offsets = [0, 0, 0, -math.pi/2]\n",
|
||||
"\n",
|
||||
" # Return adjusted joint positions\n",
|
||||
" return [o+j*i for j, o, i in zip(joints, offsets, inverse)]\n",
|
||||
"\n",
|
||||
"print([math.degrees(deg) for deg in get_joints_from_xyz_rel(0.3, 0.3, 0.3)])\n",
|
||||
"print([math.degrees(deg) for deg in get_joints_from_xyz_abs(0.3, 0.3, 0.3)])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Simulate arm and joint angles"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 164,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Target position (x,y,z): 0.3 0.3 0.3\n",
|
||||
"Angles (base, shoulder, elbow, wrist): [45.0, 90.7095, 110.715, -20.0055]\n",
|
||||
"Robot Angles: [45.0, -90.7095, 110.715, -110.0055]\n",
|
||||
"elbow (x,y): -0.005 0.423\n",
|
||||
"wrist (x,y): 0.332 0.3\n",
|
||||
"tool (x,y): 0.424 0.3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def draw_arm(x, y, z):\n",
|
||||
"\n",
|
||||
" # Get joint angles\n",
|
||||
" l1, l2, l3 = (.422864, .359041, .092124)\n",
|
||||
" r, theta = cartesian_to_polar(x, y)\n",
|
||||
" base, shoulder, elbow, wrist = get_joints_from_xyz_rel(x, y, z)\n",
|
||||
"\n",
|
||||
" # Print angles\n",
|
||||
" print('Target position (x,y,z):', x, y, z)\n",
|
||||
" print('Angles (base, shoulder, elbow, wrist):', [round(math.degrees(i), 4) for i in [base, shoulder, elbow, wrist]])\n",
|
||||
" print('Robot Angles:', [round(math.degrees(i), 4) for i in get_joints_from_xyz_abs(x, y, z)])\n",
|
||||
"\n",
|
||||
" # Calculate each joint's endpoint position\n",
|
||||
" x1, y1 = polar_to_cartesian(l1, shoulder)\n",
|
||||
" x2, y2 = polar_to_cartesian(l2, shoulder-elbow)\n",
|
||||
" x2 += x1\n",
|
||||
" y2 += y1\n",
|
||||
" x3, y3 = polar_to_cartesian(l3, shoulder-elbow-wrist)\n",
|
||||
" x3 += x2\n",
|
||||
" y3 += y2\n",
|
||||
"\n",
|
||||
" # Print each joint's endpoint position\n",
|
||||
" print('elbow (x,y):', round(x1,3), round(y1,3))\n",
|
||||
" print('wrist (x,y):', round(x2,3), round(y2,3))\n",
|
||||
" print('tool (x,y):', round(x3,3), round(y3,3))\n",
|
||||
"\n",
|
||||
" # Draw limbs\n",
|
||||
" plt.plot([0, x1], [0, y1], color='cyan', linewidth=7)\n",
|
||||
" plt.plot([x1, x2], [y1, y2], color='orange', linewidth=7)\n",
|
||||
" plt.plot([x2, x2+l3], [y2, y2], color='red', linewidth=7)\n",
|
||||
"\n",
|
||||
" # Display angles\n",
|
||||
" plt.text(0, 0.02, f'{round(math.degrees(shoulder), 2)}°')\n",
|
||||
" plt.text(x1, y1+0.02, f'{round(math.degrees(elbow), 2)}°')\n",
|
||||
" plt.text(x2, y2+0.02, f'{round(math.degrees(wrist), 2)}°')\n",
|
||||
"\n",
|
||||
" # Display r arrow\n",
|
||||
" plt.annotate(f'', xy=(0, 0), xycoords='data', xytext=(x3, 0), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
||||
" plt.annotate(f'r={round(r,4)}', xy=(x2/2, 0.01), xycoords='data', xytext=(x2/2, 0), textcoords='offset points')\n",
|
||||
"\n",
|
||||
" # Display z arrow\n",
|
||||
" plt.annotate(f'', xy=(x3, 0), xycoords='data', xytext=(x3, y3), textcoords='data', arrowprops={'arrowstyle': '<->'})\n",
|
||||
" plt.annotate(f'z={round(y2,4)}', xy=(x3+0.01, y2/2), xycoords='data', xytext=(x3/2, 0), textcoords='offset points')\n",
|
||||
" \n",
|
||||
" # Display plot\n",
|
||||
" ax = plt.subplot(111)\n",
|
||||
" ax.spines[['right', 'top']].set_visible(False)\n",
|
||||
" plt.axis('equal')\n",
|
||||
" plt.show()\n",
|
||||
"\n",
|
||||
"draw_arm(0.3, 0.3, 0.3)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 165,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Target position (x,y,z): 0.3 0.3 0.3\n",
|
||||
"Angles (base, shoulder, elbow, wrist): [45.0, 90.7095, 110.715, -20.0055]\n",
|
||||
"Robot Angles: [45.0, -90.7095, 110.715, -110.0055]\n",
|
||||
"elbow (x,y): -0.005 0.423\n",
|
||||
"wrist (x,y): 0.332 0.3\n",
|
||||
"tool (x,y): 0.424 0.3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Target position (x,y,z): -0.3 -0.3 0.7\n",
|
||||
"Angles (base, shoulder, elbow, wrist): [-135.0, 71.7346, 15.5104, 56.2242]\n",
|
||||
"Robot Angles: [-135.0, -71.7346, 15.5104, -33.7758]\n",
|
||||
"elbow (x,y): 0.133 0.402\n",
|
||||
"wrist (x,y): 0.332 0.7\n",
|
||||
"tool (x,y): 0.424 0.7\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Target position (x,y,z): -0.3 0.4 0.2\n",
|
||||
"Angles (base, shoulder, elbow, wrist): [126.8699, 74.2826, 109.5002, -35.2176]\n",
|
||||
"Robot Angles: [126.8699, -74.2826, 109.5002, -125.2176]\n",
|
||||
"elbow (x,y): 0.115 0.407\n",
|
||||
"wrist (x,y): 0.408 0.2\n",
|
||||
"tool (x,y): 0.5 0.2\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 640x480 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"draw_arm(0.3, 0.3, 0.3)\n",
|
||||
"draw_arm(-0.3, -0.3, 0.7)\n",
|
||||
"draw_arm(-0.3, 0.4, 0.2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Interactive Arm"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 160,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "5617bc9f737949c4bc84c787ff88ce16",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"interactive(children=(FloatSlider(value=0.3, description='x', max=1.0, step=0.01), FloatSlider(value=0.3, desc…"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<function __main__.draw_arm(x, y, z)>"
|
||||
]
|
||||
},
|
||||
"execution_count": 160,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from ipywidgets import interact, FloatSlider\n",
|
||||
"\n",
|
||||
"# Interactive slider for z coordinate\n",
|
||||
"interact(draw_arm, x=FloatSlider(min=0, max=1, step=0.01, value=0.3),\n",
|
||||
" y=FloatSlider(min=0, max=1, step=0.01, value=0.3),\n",
|
||||
" z=FloatSlider(min=0, max=1, step=0.01, value=0.3))\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.10.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
+351
-11
@@ -22,6 +22,13 @@ leds_size = None
|
||||
leds_normalized = None
|
||||
controllers = None
|
||||
data = None
|
||||
exactdata = None
|
||||
rings = None
|
||||
ringstatus = None
|
||||
mode = "Startup"
|
||||
firstrun = True
|
||||
changecount = 0
|
||||
animation_time = 0
|
||||
start = uptime()
|
||||
|
||||
def ping(host):
|
||||
@@ -48,30 +55,50 @@ def map():
|
||||
global leds_size
|
||||
global leds_normalized
|
||||
global controllers
|
||||
global rings
|
||||
global ringstatus
|
||||
global animation_time
|
||||
|
||||
|
||||
with open('config.yml', 'r') as fileread:
|
||||
#global config
|
||||
config = yaml.safe_load(fileread)
|
||||
|
||||
animation_time = config["animation_time"]
|
||||
leds = list()
|
||||
leds_size = list()
|
||||
controllers = list()
|
||||
rings = list(range(len(config["position_map"])))
|
||||
ringstatus = list(range(len(config["position_map"])))
|
||||
#print(rings)
|
||||
#fprint(config["led"]["map"])
|
||||
generate_map = False
|
||||
map = list()
|
||||
for shape in config["led"]["map"]:
|
||||
if shape["type"] == "circle":
|
||||
|
||||
if generate_map:
|
||||
map.append((shape["pos"][1],shape["pos"][0]))
|
||||
#fprint(shape["pos"])
|
||||
anglediv = 360.0 / shape["size"]
|
||||
angle = 0
|
||||
radius = shape["diameter"] / 2
|
||||
lednum = shape["start"]
|
||||
for item in config['position_map']:
|
||||
# Check if the current item's position matches the target position
|
||||
#print(item['pos'],(shape["pos"][1],shape["pos"][0]))
|
||||
if tuple(item['pos']) == (shape["pos"][1],shape["pos"][0]):
|
||||
rings[item["index"]] = (shape["pos"][1],shape["pos"][0],lednum,lednum+shape["size"]) # rings[index] = x, y, startpos, endpos
|
||||
ringstatus[item["index"]] = [None, None]
|
||||
break
|
||||
if len(leds) < lednum + shape["size"]:
|
||||
for x in range(lednum + shape["size"] - len(leds)):
|
||||
leds.append(None)
|
||||
leds_size.append(None)
|
||||
while angle < 359.999:
|
||||
tmpangle = angle + shape["angle"]
|
||||
x = math.cos(tmpangle * (math.pi / 180.0)) * radius + shape["pos"][0]
|
||||
y = math.sin(tmpangle * (math.pi / 180.0)) * radius + shape["pos"][1]
|
||||
x = math.cos(tmpangle * (math.pi / 180.0)) * radius + shape["pos"][1] # flip by 90 degress when we changed layout
|
||||
y = math.sin(tmpangle * (math.pi / 180.0)) * radius + shape["pos"][0]
|
||||
leds[lednum] = (x,y)
|
||||
lednum = lednum + 1
|
||||
angle = angle + anglediv
|
||||
@@ -97,7 +124,23 @@ def map():
|
||||
dist += distdiv
|
||||
lednum = lednum + 1
|
||||
|
||||
if generate_map:
|
||||
map = sorted(map, key=lambda x: (-x[1], x[0]))
|
||||
print(map)
|
||||
import matplotlib.pyplot as plt
|
||||
plt.axis('equal')
|
||||
x, y = zip(*map)
|
||||
plt.scatter(x, y, s=12)
|
||||
#plt.plot(x, y, marker='o')
|
||||
#plt.scatter(*zip(*leds), s=3)
|
||||
for i, (x_pos, y_pos) in enumerate(map):
|
||||
plt.text(x_pos, y_pos, str(i), color="red", fontsize=12)
|
||||
plt.savefig("map2.png", dpi=600, bbox_inches="tight")
|
||||
data = {"map": [{"index": i, "pos": str(list(pos))} for i, pos in enumerate(map)]}
|
||||
yaml_str = yaml.dump(data, default_flow_style=False)
|
||||
print(yaml_str)
|
||||
|
||||
print(rings)
|
||||
flag = 0
|
||||
for x in leds:
|
||||
if x is None:
|
||||
@@ -148,9 +191,10 @@ def init():
|
||||
global leds_size
|
||||
global controllers
|
||||
global data
|
||||
global exactdata
|
||||
sender = sacn.sACNsender(fps=config["led"]["fps"], universeDiscovery=False)
|
||||
sender.start() # start the sending thread
|
||||
for x in range(len(controllers)):
|
||||
"""for x in range(len(controllers)):
|
||||
print("Waiting for the controller at", controllers[x][2], "to be online...", end="")
|
||||
count = 0
|
||||
while not ping(controllers[x][2]):
|
||||
@@ -159,7 +203,7 @@ def init():
|
||||
fprint(" ERROR: controller still offline after " + str(count) + " seconds, continuing...")
|
||||
break
|
||||
if count < config["led"]["timeout"]:
|
||||
fprint(" done")
|
||||
fprint(" done")"""
|
||||
for x in range(len(controllers)):
|
||||
print("Activating controller", x, "at", controllers[x][2], "with", controllers[x][1]-controllers[x][0], "LEDs.")
|
||||
sender.activate_output(x+1) # start sending out data
|
||||
@@ -168,22 +212,26 @@ def init():
|
||||
|
||||
# initialize global pixel data list
|
||||
data = list()
|
||||
exactdata = list()
|
||||
for x in range(len(leds)):
|
||||
if leds_size[x] == 3:
|
||||
exactdata.append(None)
|
||||
data.append((20,20,127))
|
||||
elif leds_size[x] == 4:
|
||||
exactdata.append(None)
|
||||
data.append((50,50,255,0))
|
||||
else:
|
||||
exactdata.append(None)
|
||||
data.append((0,0,0))
|
||||
sendall(data)
|
||||
#time.sleep(50000)
|
||||
fprint("Running start-up test sequence...")
|
||||
for y in range(1):
|
||||
for x in range(len(leds)):
|
||||
setpixel(5,5,5,x)
|
||||
setpixel(0,60,144,x)
|
||||
sendall(data)
|
||||
#time.sleep(2)
|
||||
#alloffsmooth()
|
||||
alloffsmooth()
|
||||
|
||||
def sendall(datain):
|
||||
# send all LED data to all controllers
|
||||
@@ -260,6 +308,209 @@ def setpixelnow(r, g, b, num):
|
||||
setpixel(r,g,b,num)
|
||||
senduniverse(data, num)
|
||||
|
||||
def setmode(stmode, r=0,g=0,b=0):
|
||||
global mode
|
||||
global firstrun
|
||||
if stmode is not None:
|
||||
if mode != stmode:
|
||||
firstrun = True
|
||||
|
||||
mode = stmode
|
||||
|
||||
|
||||
def setring(r,g,b,idx):
|
||||
|
||||
ring = rings[idx]
|
||||
for pixel in range(ring[2],ring[3]):
|
||||
setpixel(r,g,b,pixel)
|
||||
#global data
|
||||
#senduniverse(data, ring[2])
|
||||
|
||||
def runmodes(ring = -1, speed = 1):
|
||||
global mode
|
||||
global firstrun
|
||||
global changecount
|
||||
fprint("Mode: " + str(mode))
|
||||
if mode == "Startup":
|
||||
# loading animation. cable check
|
||||
if firstrun:
|
||||
changecount = animation_time * 3
|
||||
firstrun = False
|
||||
for x in range(len(ringstatus)):
|
||||
ringstatus[x] = [True, animation_time]
|
||||
|
||||
if changecount > 0:
|
||||
fprint(changecount)
|
||||
changecount = fadeorder(0,len(leds), changecount, 0,50,100)
|
||||
else:
|
||||
setmode("Startup2")
|
||||
|
||||
|
||||
elif mode == "Startup2":
|
||||
if firstrun:
|
||||
firstrun = False
|
||||
|
||||
else:
|
||||
for x in range(len(ringstatus)):
|
||||
if ringstatus[x][0]:
|
||||
setring(0, 50, 100, x)
|
||||
else:
|
||||
ringstatus[x][1] = fadeall(rings[x][2],rings[x][3], ringstatus[x][1], 100,0,0) # not ready
|
||||
|
||||
elif mode == "StartupCheck":
|
||||
if firstrun:
|
||||
firstrun = False
|
||||
for x in range(len(ringstatus)):
|
||||
ringstatus[x] = [False, animation_time]
|
||||
else:
|
||||
for x in range(len(ringstatus)):
|
||||
if ringstatus[x][0]:
|
||||
ringstatus[x][1] = fadeall(rings[x][2],rings[x][3], ringstatus[x][1], 0,50,100) # ready
|
||||
else:
|
||||
setring(100, 0, 0, x)
|
||||
|
||||
elif mode == "GrabA":
|
||||
if firstrun:
|
||||
firstrun = False
|
||||
changecount = animation_time # 100hz
|
||||
if changecount > 0:
|
||||
changecount = fadeall(rings[ring][2],rings[ring][3], changecount, 100,0,0)
|
||||
else:
|
||||
setring(100,0,0,ring)
|
||||
setmode("GrabB")
|
||||
elif mode == "GrabB":
|
||||
if firstrun:
|
||||
firstrun = False
|
||||
changecount = animation_time # 100hz
|
||||
if changecount > 0:
|
||||
changecount = fadeorder(rings[ring][2],rings[ring][3], changecount, 0,100,0)
|
||||
else:
|
||||
setring(0,100,0,ring)
|
||||
setmode("idle")
|
||||
elif mode == "GrabC":
|
||||
if firstrun:
|
||||
firstrun = False
|
||||
changecount = animation_time # 100hz
|
||||
if changecount > 0:
|
||||
changecount = fadeall(rings[ring][2],rings[ring][3], changecount, 0,50,100)
|
||||
else:
|
||||
setring(0,50,100,ring)
|
||||
setmode("idle")
|
||||
elif mode == "idle":
|
||||
time.sleep(0)
|
||||
|
||||
sendall(data)
|
||||
|
||||
def fadeall(idxa,idxb,sizerem,r,g,b):
|
||||
if sizerem < 1:
|
||||
return 0
|
||||
global exactdata
|
||||
sum = 0
|
||||
for x in range(idxa,idxb):
|
||||
if exactdata[x] is None:
|
||||
exactdata[x] = data[x]
|
||||
old = exactdata[x]
|
||||
dr = (r - old[0])/sizerem
|
||||
sum += abs(dr)
|
||||
dr += old[0]
|
||||
dg = (g - old[1])/sizerem
|
||||
sum += abs(dg)
|
||||
dg += old[1]
|
||||
db = (b - old[2])/sizerem
|
||||
db += old[2]
|
||||
sum += abs(db)
|
||||
exactdata[x] = (dr, dg, db)
|
||||
#print(new)
|
||||
setpixel(dr, dg, db, x)
|
||||
if sizerem == 1:
|
||||
exactdata[x] = None
|
||||
if sum == 0 and sizerem > 2:
|
||||
sizerem = 2
|
||||
return sizerem - 1
|
||||
|
||||
def fadeorder(idxa,idxb,sizerem,r,g,b):
|
||||
if sizerem < 1:
|
||||
return 0
|
||||
global exactdata
|
||||
drs = 0
|
||||
dgs = 0
|
||||
dbs = 0
|
||||
sum = 0
|
||||
for x in range(idxa,idxb):
|
||||
if exactdata[x] is None:
|
||||
exactdata[x] = data[x]
|
||||
old = exactdata[x]
|
||||
dr = (r - old[0])
|
||||
dg = (g - old[1])
|
||||
db = (b - old[2])
|
||||
drs += dr
|
||||
dgs += dg
|
||||
dbs += db
|
||||
|
||||
drs /= sizerem
|
||||
dgs /= sizerem
|
||||
dbs /= sizerem
|
||||
sum += abs(drs) + abs(dgs) + abs(dbs)
|
||||
print(drs,dgs,dbs)
|
||||
for x in range(idxa,idxb):
|
||||
old = exactdata[x]
|
||||
new = list(old)
|
||||
if drs > 0:
|
||||
if old[0] + drs > r:
|
||||
new[0] = r
|
||||
drs -= r - old[0]
|
||||
else:
|
||||
new[0] = old[0] + drs
|
||||
drs = 0
|
||||
if dgs > 0:
|
||||
if old[1] + dgs > g:
|
||||
new[1] = g
|
||||
dgs -= g - old[1]
|
||||
else:
|
||||
new[1] = old[1] + dgs
|
||||
dgs = 0
|
||||
if dbs > 0:
|
||||
if old[2] + dbs > b:
|
||||
new[2] = b
|
||||
dbs -= b - old[2]
|
||||
else:
|
||||
new[2] = old[2] + dbs
|
||||
dbs = 0
|
||||
|
||||
if drs < 0:
|
||||
if old[0] + drs < r:
|
||||
new[0] = r
|
||||
drs -= r - old[0]
|
||||
else:
|
||||
new[0] = old[0] + drs
|
||||
drs = 0
|
||||
if dgs < 0:
|
||||
if old[1] + dgs < g:
|
||||
new[1] = g
|
||||
dgs -= g - old[1]
|
||||
else:
|
||||
new[1] = old[1] + dgs
|
||||
dgs = 0
|
||||
if dbs < 0:
|
||||
if old[2] + dbs < b:
|
||||
new[2] = b
|
||||
dbs -= b - old[2]
|
||||
else:
|
||||
new[2] = old[2] + dbs
|
||||
dbs = 0
|
||||
|
||||
if drs != 0 or dgs != 0 or dbs != 0:
|
||||
exactdata[x] = new
|
||||
setpixel(new[0],new[1],new[2],x)
|
||||
|
||||
if sizerem == 1:
|
||||
exactdata[x] = None
|
||||
|
||||
if sum == 0 and sizerem > 2:
|
||||
sizerem = 2
|
||||
return sizerem - 1
|
||||
|
||||
|
||||
def setpixel(r, g, b, num):
|
||||
global data
|
||||
global leds_size
|
||||
@@ -290,7 +541,7 @@ def close():
|
||||
time.sleep(0.5)
|
||||
sender.stop()
|
||||
|
||||
def mapimage(image, fps=60):
|
||||
def mapimage(image, fps=90):
|
||||
global start
|
||||
while uptime() - start < 1/fps:
|
||||
time.sleep(0.00001)
|
||||
@@ -328,16 +579,105 @@ def mapimage(image, fps=60):
|
||||
global data
|
||||
fastsendall(data)
|
||||
|
||||
def mainloop(stmode, ring = -1, fps = 100, preview = False):
|
||||
global start
|
||||
while uptime() - start < 1/fps:
|
||||
time.sleep(0.00001)
|
||||
fprint(1 / (uptime() - start))
|
||||
start = uptime()
|
||||
if mode is not None:
|
||||
setmode(stmode)
|
||||
runmodes(ring)
|
||||
if preview:
|
||||
drawdata()
|
||||
|
||||
def drawdata():
|
||||
#tmp = list()
|
||||
#for x in len(leds):
|
||||
# led = leds[x]
|
||||
# tmp.append((led[0], led[1], data[x]))
|
||||
|
||||
x = [led[0] for led in leds]
|
||||
y = [led[1] for led in leds]
|
||||
colors = data
|
||||
colors_normalized = [(x[0]/255, x[1]/255, x[2]/255) for x in colors]
|
||||
# Plot the points
|
||||
plt.scatter(x, y, c=colors_normalized)
|
||||
|
||||
# Optional: add grid, title, and labels
|
||||
plt.grid(True)
|
||||
plt.title('Colored Points')
|
||||
plt.xlabel('X')
|
||||
plt.ylabel('Y')
|
||||
plt.show()
|
||||
plt.savefig("map3.png", dpi=50, bbox_inches="tight")
|
||||
plt.clf()
|
||||
|
||||
def startup_animation(show):
|
||||
|
||||
|
||||
stmode = "Startup"
|
||||
mainloop(stmode, preview=show)
|
||||
while mode == "Startup":
|
||||
mainloop(None, preview=show)
|
||||
for x in range(54):
|
||||
ringstatus[x][0] = False
|
||||
mainloop(None, preview=show)
|
||||
|
||||
for x in range(animation_time):
|
||||
mainloop(None, preview=show)
|
||||
clear_animations()
|
||||
stmode = "StartupCheck"
|
||||
mainloop(stmode, preview=show)
|
||||
clear_animations()
|
||||
|
||||
def clear_animations():
|
||||
for x in range(len(leds)):
|
||||
exactdata[x] = None
|
||||
|
||||
def do_animation(stmode, ring=-1):
|
||||
mainloop(stmode, ring, preview=show)
|
||||
wait_for_animation(ring)
|
||||
|
||||
def start_animation(stmode, ring=-1):
|
||||
mainloop(stmode, ring, preview=show)
|
||||
|
||||
def wait_for_animation(ring=-1):
|
||||
while mode != "idle":
|
||||
mainloop(None, ring, preview=show)
|
||||
|
||||
if __name__ == "__main__":
|
||||
init()
|
||||
cap = cv2.VideoCapture('output.mp4')
|
||||
import matplotlib.pyplot as plt
|
||||
"""cap = cv2.VideoCapture('badapple.mp4')
|
||||
while cap.isOpened():
|
||||
ret, frame = cap.read()
|
||||
if not ret:
|
||||
break
|
||||
mapimage(frame)
|
||||
mapimage(frame, fps=30)"""
|
||||
show = True
|
||||
ring = 1
|
||||
startup_animation(show)
|
||||
for x in range(54):
|
||||
ringstatus[x][0] = True
|
||||
mainloop(None, preview=show)
|
||||
for x in range(animation_time):
|
||||
mainloop(None, preview=show)
|
||||
|
||||
do_animation("GrabA", 1)
|
||||
|
||||
time.sleep(1)
|
||||
do_animation("GrabA", 5)
|
||||
start_animation("GrabC", 1)
|
||||
|
||||
wait_for_animation(1)
|
||||
do_animation("GrabC", 5)
|
||||
|
||||
close()
|
||||
#sys.exit(0)
|
||||
#sys.exit(0)
|
||||
|
||||
|
||||
# blue : default
|
||||
# green : target
|
||||
# yellow : crosshair
|
||||
# red : missing
|
||||
# uninitialized : red/purple?
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 381 KiB After Width: | Height: | Size: 372 KiB |
+118
-30
@@ -2,6 +2,8 @@
|
||||
|
||||
# Parse Belden catalog techdata datasheets
|
||||
|
||||
import pandas as pd
|
||||
pd.set_option('future.no_silent_downcasting', True)
|
||||
from PyPDF2 import PdfReader
|
||||
import camelot
|
||||
import numpy as np
|
||||
@@ -9,8 +11,15 @@ from PIL import Image
|
||||
import io
|
||||
import json
|
||||
from util import fprint
|
||||
import uuid
|
||||
from util import run_cmd
|
||||
import os
|
||||
|
||||
def parse(filename, output_dir):
|
||||
def touch(path):
|
||||
with open(path, 'a'):
|
||||
os.utime(path, None)
|
||||
|
||||
def parse(filename, output_dir, partnum, dstype):
|
||||
|
||||
# Extract table data
|
||||
|
||||
@@ -21,7 +30,9 @@ def parse(filename, output_dir):
|
||||
reader = PdfReader(filename)
|
||||
page = reader.pages[0]
|
||||
table_list = {}
|
||||
|
||||
for table in tables:
|
||||
table.df.infer_objects(copy=False)
|
||||
table.df.replace('', np.nan, inplace=True)
|
||||
table.df.dropna(inplace=True, how="all")
|
||||
table.df.dropna(inplace=True, axis="columns", how="all")
|
||||
@@ -87,6 +98,7 @@ def parse(filename, output_dir):
|
||||
|
||||
# Table parsing and reordring
|
||||
tables = dict()
|
||||
torename = dict()
|
||||
previous_table = ""
|
||||
for table_name in table_list.keys():
|
||||
# determine shape: horizontal or vertical
|
||||
@@ -118,7 +130,8 @@ def parse(filename, output_dir):
|
||||
for table_name_2 in table_list.keys():
|
||||
if table_name_2.find(table.iloc[-1, 0]) >= 0:
|
||||
# Name taken from table directly above - this table does not have a name
|
||||
table_list["Specs " + str(len(tables))] = table_list.pop(table_name_2, None) # rename table to arbitrary altername name
|
||||
torename[table_name_2] = "Specs " + str(len(tables))
|
||||
#table_list["Specs " + str(len(tables))] = table_list[table_name_2] # rename table to arbitrary altername name
|
||||
break
|
||||
|
||||
if vertical:
|
||||
@@ -137,44 +150,119 @@ def parse(filename, output_dir):
|
||||
|
||||
|
||||
# multi-page table check
|
||||
if table_name.isdigit() and len(tables) > 1:
|
||||
fprint(table_name)
|
||||
fprint(previous_table)
|
||||
|
||||
|
||||
|
||||
|
||||
main_key = previous_table
|
||||
cont_key = table_name
|
||||
fprint(tables)
|
||||
if vertical == False:
|
||||
main_keys = list(tables[main_key].keys())
|
||||
for i, (cont_key, cont_values) in enumerate(tables[cont_key].items()):
|
||||
if i < len(main_keys):
|
||||
fprint(tables[main_key][main_keys[i]])
|
||||
tables[main_key][main_keys[i]] = (tables[main_key][main_keys[i]] + (cont_key,) + cont_values)
|
||||
|
||||
del tables[table_name]
|
||||
|
||||
else:
|
||||
for key in tables[cont_key].keys():
|
||||
tables[main_key][key] = tables[cont_key][key]
|
||||
del tables[table_name]
|
||||
if dstype == "Belden":
|
||||
if table_name.isdigit() and len(tables) > 1:
|
||||
#fprint(table_name)
|
||||
#fprint(previous_table)
|
||||
|
||||
|
||||
|
||||
|
||||
main_key = previous_table
|
||||
cont_key = table_name
|
||||
#fprint(tables)
|
||||
if vertical == False:
|
||||
main_keys = list(tables[main_key].keys())
|
||||
for i, (cont_key, cont_values) in enumerate(tables[cont_key].items()):
|
||||
if i < len(main_keys):
|
||||
#fprint(tables[main_key][main_keys[i]])
|
||||
tables[main_key][main_keys[i]] = (tuple(tables[main_key][main_keys[i]]) + (cont_key,) + cont_values)
|
||||
|
||||
del tables[table_name]
|
||||
|
||||
else:
|
||||
for key in tables[cont_key].keys():
|
||||
tables[main_key][key] = tables[cont_key][key]
|
||||
del tables[table_name]
|
||||
|
||||
previous_table = table_name
|
||||
|
||||
# remove renamed tables
|
||||
for table_name in torename.keys():
|
||||
tables[torename[table_name]] = tables[table_name]
|
||||
del tables[table_name]
|
||||
# remove multi-line values that occasionally squeak through
|
||||
def replace_newlines_in_dict(d):
|
||||
for key, value in d.items():
|
||||
if isinstance(value, str):
|
||||
# Replace \n with " " if the value is a string
|
||||
d[key] = value.replace('\n', ' ')
|
||||
elif isinstance(value, dict):
|
||||
# Recursively call the function if the value is another dictionary
|
||||
replace_newlines_in_dict(value)
|
||||
return d
|
||||
|
||||
tables = replace_newlines_in_dict(tables)
|
||||
|
||||
fprint(tables)
|
||||
with open(output_dir + "/tables.json", 'w') as json_file:
|
||||
json.dump(tables, json_file)
|
||||
# summary
|
||||
|
||||
output_table = dict()
|
||||
output_table["partnum"] = partnum
|
||||
id = str(uuid.uuid4())
|
||||
output_table["id"] = id
|
||||
#output_table["position"] = id
|
||||
#output_table["brand"] = brand
|
||||
output_table["fullspecs"] = tables
|
||||
output_table["searchspecs"] = {"partnum": partnum, **flatten(tables)}
|
||||
|
||||
output_table["searchspecs"]["id"] = id
|
||||
|
||||
|
||||
|
||||
#print(output_table)
|
||||
|
||||
run_cmd("rm \"" + output_dir + "\"/*.json") # not reliable!
|
||||
with open(output_dir + "/" + output_table["searchspecs"]["id"] + ".json", 'w') as json_file:
|
||||
json.dump(output_table["searchspecs"], json_file)
|
||||
touch(output_dir + "/parsed")
|
||||
return output_table
|
||||
|
||||
|
||||
def flatten(tables):
|
||||
def convert_to_number(s):
|
||||
try:
|
||||
# First, try converting to an integer.
|
||||
return int(s)
|
||||
except ValueError:
|
||||
# If that fails, try converting to a float.
|
||||
try:
|
||||
return float(s)
|
||||
except ValueError:
|
||||
# If it fails again, return the original string.
|
||||
return s
|
||||
out = dict()
|
||||
#print("{")
|
||||
for table in tables.keys():
|
||||
for key in tables[table].keys():
|
||||
if len(key) < 64:
|
||||
keyname = key
|
||||
else:
|
||||
keyname = key[0:64]
|
||||
|
||||
return tables
|
||||
fullkeyname = (table + ": " + keyname).replace(".","")
|
||||
if type(tables[table][key]) is not tuple:
|
||||
out[fullkeyname] = convert_to_number(tables[table][key])
|
||||
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||
elif len(tables[table][key]) == 1:
|
||||
out[fullkeyname] = convert_to_number(tables[table][key][0])
|
||||
|
||||
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||
|
||||
# if the item has at least two commas in it, split it
|
||||
if tables[table][key].count(',') > 0:
|
||||
out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(",")))
|
||||
#print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||
|
||||
# if the item has at least two commas in it, split it
|
||||
if tables[table][key].count(',') > 0:
|
||||
out[fullkeyname] = list(map(lambda x: x.strip(), tables[table][key].split(",")))
|
||||
print("\"" + keyname + "\":", "\"" + str(out[fullkeyname]) + "\",")
|
||||
|
||||
|
||||
#print("}")
|
||||
return out
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parse("test2.pdf", "10GXS13")
|
||||
parse("test2.pdf", "cables/10GXS13", "10GXS13")
|
||||
+4
-1
@@ -5,13 +5,16 @@ pypdf2==2.12.1
|
||||
alive-progress
|
||||
requests
|
||||
git+https://github.com/Byeongdulee/python-urx.git
|
||||
psycopg2
|
||||
meilisearch
|
||||
pyyaml
|
||||
Flask
|
||||
selenium
|
||||
sacn
|
||||
uptime
|
||||
websockets
|
||||
numpy
|
||||
scipy
|
||||
ipywidgets
|
||||
|
||||
# Development
|
||||
matplotlib
|
||||
@@ -89,6 +89,9 @@ def start_server_socket():
|
||||
|
||||
while True:
|
||||
#print("HI")
|
||||
|
||||
# Handeling Server Requests Loop, will run forever
|
||||
|
||||
if not from_server_queue.empty():
|
||||
client_id, message = from_server_queue.get()
|
||||
fprint(f"Message from client {client_id}: {message}")
|
||||
@@ -113,7 +116,7 @@ def start_server_socket():
|
||||
case "log":
|
||||
fprint("log message")
|
||||
if call == "send":
|
||||
fprint("webapp: " + data)
|
||||
fprint("webapp: " + str(data), sendqueue=to_server_queue)
|
||||
elif call == "request":
|
||||
fprint("")
|
||||
|
||||
@@ -124,6 +127,21 @@ def start_server_socket():
|
||||
elif call == "request":
|
||||
fprint("")
|
||||
|
||||
|
||||
case "ping":
|
||||
fprint("Pong!!!")
|
||||
|
||||
# Lucas' notes
|
||||
# Add a ping pong :) response/handler
|
||||
# Add a get cable response/handler
|
||||
# this will tell the robot arm to move
|
||||
# Call for turning off everything
|
||||
|
||||
# TODO Helper for converting Python Dictionaries to JSON
|
||||
# make function: pythonData --> { { "type": "...", "call": "...", "data": pythonData } }
|
||||
|
||||
# to send: to_server_queue.put(("*", "JSON STRING HERE")) # replace * with UUID of client to send to one specific location
|
||||
|
||||
case "cable_details":
|
||||
fprint("cable_details message")
|
||||
if call == "send":
|
||||
@@ -235,7 +253,7 @@ def setup_server(pool):
|
||||
|
||||
if camera_ready is False:
|
||||
fprint("waiting for " + "Camera initilization" + " to complete...", sendqueue=to_server_queue)
|
||||
camera = process_video.qr_reader(config["cameras"]["banner"]["ip"], config["cameras"]["banner"]["port"])
|
||||
# camera = process_video.qr_reader(config["cameras"]["banner"]["ip"], config["cameras"]["banner"]["port"])
|
||||
|
||||
fprint("Camera initialized.", sendqueue=to_server_queue)
|
||||
|
||||
@@ -262,8 +280,8 @@ def mainloop_server(pool):
|
||||
killall()
|
||||
counter = counter + 1
|
||||
|
||||
fprint("Looking for QR code...")
|
||||
print(camera.read_qr(30))
|
||||
# fprint("Looking for QR code...")
|
||||
# print(camera.read_qr(30))
|
||||
|
||||
def run_loading_app():
|
||||
|
||||
|
||||
@@ -0,0 +1,117 @@
|
||||
"""Interactions with the Meilisearch API for adding and searching cables."""
|
||||
from meilisearch import Client
|
||||
from meilisearch.task import TaskInfo
|
||||
from meilisearch.errors import MeilisearchApiError
|
||||
import json
|
||||
|
||||
DEFAULT_URL = "http://localhost:7700"
|
||||
DEFAULT_APIKEY = "fluffybunnyrabbit" # I WOULD RECOMMEND SOMETHING MORE SECURE
|
||||
DEFAULT_INDEX = "cables"
|
||||
DEFAULT_FILTERABLE_ATTRS = ["partnum", "uuid", "position"] # default filterable attributes
|
||||
|
||||
|
||||
class JukeboxSearch:
|
||||
"""Class for interacting with the Meilisearch API."""
|
||||
def __init__(self,
|
||||
url: str = None,
|
||||
api_key: str = None,
|
||||
index: str = None,
|
||||
filterable_attrs: list = None):
|
||||
"""Connect to Meilisearch and perform first-run tasks as necessary.
|
||||
|
||||
:param url: Address of the Meilisearch server. Defaults to ``http://localhost:7700`` if unspecified.
|
||||
:param api_key: API key used to authenticate with Meilisearch. It is highly recommended to set this as something
|
||||
secure if you can access this endpoint publicly, but you can ignore this and set Meilisearch's default API key
|
||||
to ``fluffybunnyrabbit``.
|
||||
:param index: The name of the index to configure. Defaults to ``cables`` if unspecified.
|
||||
:param filterable_attrs: List of all the attributes we want to filter by."""
|
||||
# connect to Meilisearch
|
||||
url = url or DEFAULT_URL
|
||||
api_key = api_key or DEFAULT_APIKEY
|
||||
filterable_attrs = filterable_attrs or DEFAULT_FILTERABLE_ATTRS
|
||||
self.index = index or DEFAULT_INDEX
|
||||
self.client = Client(url, api_key)
|
||||
# create the index if it does not exist already
|
||||
try:
|
||||
self.client.get_index(self.index)
|
||||
except MeilisearchApiError as _:
|
||||
self.client.create_index(self.index)
|
||||
# make a variable to easily reference the index
|
||||
self.idxref = self.client.index(self.index)
|
||||
|
||||
# update filterable attributes if needed
|
||||
self.update_filterables(filterable_attrs)
|
||||
|
||||
def add_document(self, document: dict) -> TaskInfo:
|
||||
"""Add a cable to the Meilisearch index.
|
||||
|
||||
:param document: Dictionary containing all the cable data.
|
||||
:returns: A TaskInfo object for the addition of the new document."""
|
||||
return self.idxref.add_documents(document)
|
||||
|
||||
def add_documents(self, documents: list):
|
||||
"""Add a list of cables to the Meilisearch index.
|
||||
|
||||
:param documents: List of dictionaries containing all the cable data.
|
||||
:returns: A TaskInfo object for the last new document."""
|
||||
taskinfo = None
|
||||
for i in documents:
|
||||
taskinfo = self.add_document(i)
|
||||
return taskinfo
|
||||
|
||||
def update_filterables(self, filterables: list):
|
||||
"""Update filterable attributes and wait for database to fully index. If the filterable attributes matches the
|
||||
current attributes in the database, don't update (saves reindexing).
|
||||
|
||||
:param filterables: List of all filterable attributes"""
|
||||
|
||||
existing_filterables = self.idxref.get_filterable_attributes()
|
||||
if len(set(existing_filterables).difference(set(filterables))) > 0:
|
||||
taskref = self.idxref.update_filterable_attributes(filterables)
|
||||
|
||||
self.client.wait_for_task(taskref.index_uid)
|
||||
|
||||
def search(self, query: str, filters: str = None):
|
||||
"""Execute a search query on the Meilisearch index.
|
||||
|
||||
:param query: Seach query
|
||||
:param filters: A meilisearch compatible filter statement.
|
||||
:returns: The search results dict. Actual results are in a list under "hits", but there are other nice values that are useful in the root element."""
|
||||
if filters:
|
||||
q = self.idxref.search(query, {"filter": filters})
|
||||
else:
|
||||
q = self.idxref.search(query)
|
||||
return q
|
||||
|
||||
def _filter_one(self, filter: str):
|
||||
"""Get the first item to match a filter.
|
||||
|
||||
:param filter: A meilisearch compatible filter statement.
|
||||
:returns: A dict containing the results; If no results found, an empty dict."""
|
||||
q = self.search("", filter)
|
||||
if q["estimatedTotalHits"] != 0:
|
||||
return ["hits"][0]
|
||||
else:
|
||||
return dict()
|
||||
|
||||
def get_position(self, position: str):
|
||||
"""Get a part by position.
|
||||
|
||||
:param partnum: The position to search for."""
|
||||
return self._filter_one(f"position = {position}")
|
||||
|
||||
def get_uuid(self, uuid: str):
|
||||
"""Get a specific UUID.
|
||||
|
||||
:param uuid: The UUID to search for."""
|
||||
return self._filter_one(f"uuid = {uuid}")
|
||||
|
||||
def get_partnum(self, partnum: str):
|
||||
"""Get a specific part number.
|
||||
|
||||
:param partnum: The part number to search for."""
|
||||
return self._filter_one(f"partnum = {partnum}")
|
||||
|
||||
# entrypoint
|
||||
if __name__ == "__main__":
|
||||
jbs = JukeboxSearch()
|
||||
@@ -0,0 +1 @@
|
||||
source venv/bin/activate.fish
|
||||
@@ -0,0 +1,106 @@
|
||||
print("\u001b[37m")
|
||||
|
||||
class Ring:
|
||||
def __init__(self) -> None:
|
||||
self.leds = [0] * 24
|
||||
self.id = 0
|
||||
self.dirty = False
|
||||
|
||||
def __iter__(self) -> iter:
|
||||
yield from self.leds
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"Ring<id={self.id}, led_state={' '.join(list(map(lambda x: str(x+1), self.leds)))}, dirty={self.dirty}>"
|
||||
|
||||
def __add__(self, other):
|
||||
self.leds.extend(other)
|
||||
return self
|
||||
|
||||
def __bool__(self):
|
||||
return self.dirty
|
||||
|
||||
def __getitem__(self, index):
|
||||
return self.leds[index]
|
||||
|
||||
def __setitem__(self, index, value):
|
||||
ivalue = self.leds[index]
|
||||
if ivalue != value:
|
||||
self.dirty = True
|
||||
self.leds[index] = value
|
||||
|
||||
def __getattr__(self, name):
|
||||
import word2num
|
||||
name = int(word2num.word2num(name))
|
||||
print(name)
|
||||
if 0 <= name < len(self.leds):
|
||||
return self.leds[name]
|
||||
|
||||
|
||||
|
||||
a = Ring()
|
||||
print(a)
|
||||
b = Ring()
|
||||
b.leds[2] = 3
|
||||
|
||||
print(a + b)
|
||||
|
||||
b.active = True
|
||||
|
||||
if b:
|
||||
print("Bexist")
|
||||
|
||||
c = [a, b, b, a, a]
|
||||
|
||||
d = list(filter(lambda x: bool(x), c))
|
||||
|
||||
print(d)
|
||||
|
||||
for i, ring in enumerate(c):
|
||||
ring[0] = i
|
||||
print(ring)
|
||||
|
||||
print(a, b)
|
||||
|
||||
print(f"\u001b[32m{a}")
|
||||
print(f"\u001b[37ma")
|
||||
|
||||
print(getattr(a, "twenty two"))
|
||||
|
||||
# eval(f"getattr(a,\"{input()}\")")
|
||||
|
||||
|
||||
# a = r"wow this string is cursed; for example \n"
|
||||
|
||||
|
||||
# SEARCHDATA=r"""{ "q": "{QUERY}", "sortCriteria": "relevancy", "numberOfResults": "250", "sortCriteria": "@catalogitemwebdisplaypriority ascending", "searchHub": "products-only-search", "pipeline": "Site Search", "maximumAge": "900000", "tab": "products-search", "locale": "en", "aq": "(NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B)) ((@syssource==\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\" @catalogitemprimarycategorypublished==true)) ((@catalogitemregionavailable=Global) (@z95xlanguage==en))", "cq": "((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\"Coveo_web_index - rg-nc-prod-sitecore-prod\")) OR (@source==(\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\",\"website_001002_Category_index-rg-nc-prod-sitecore-prod\"))", "firstResult": "0" }, "categoryFacets": "[{\"field\":\"@catalogitemcategories\",\"path\":[],\"injectionDepth\":1000,\"maximumNumberOfValues\":6,\"delimitingCharacter\":\"|\"}]", "facetOptions": "{}", "groupBy": " [{\"field\":\"@contenttype\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[\"Products\"],\"queryOverride\":\"{QUERY}\",\"advancedQueryOverride\":\"(NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B)) ((((((((@z95xpath=3324AF2D58F64C0FB725521052F679D2 @z95xid<>3324AF2D58F64C0FB725521052F679D2) ((@z95xpath=C292F3A37B3A4E6BAB345DF87ADDE516 @z95xid<>C292F3A37B3A4E6BAB345DF87ADDE516) @z95xtemplate==E4EFEB787BDC4B1A908EFC64D56CB2A4)) OR ((@z95xpath=723501A864754FEEB8AE377E4C710271 @z95xid<>723501A864754FEEB8AE377E4C710271) ((@z95xpath=600114EAB0E5407A84AAA9F0985B6575 @z95xid<>600114EAB0E5407A84AAA9F0985B6575) @z95xtemplate==2BE4FD6B3B2C49EBBD9E1F6C92238B05))) OR (@syssource==\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\" @catalogitemprimarycategorypublished==true)) OR ((@z95xpath=3324AF2D58F64C0FB725521052F679D2 @z95xid<>3324AF2D58F64C0FB725521052F679D2) @z95xpath<>C292F3A37B3A4E6BAB345DF87ADDE516)) OR @syssource==\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\") NOT @z95xtemplate==(ADB6CA4F03EF4F47B9AC9CE2BA53FF97,FE5DD82648C6436DB87A7C4210C7413B))) ((@catalogitemregionavailable=Global) (@z95xlanguage==en) OR (@contenttype=(Blogs,Resources,Other)) (NOT @ez120xcludefromcoveo==1))\",\"constantQueryOverride\":\"((@z95xlanguage==en) (@z95xlatestversion==1) (@source==\\"Coveo_web_index - rg-nc-prod-sitecore-prod\\")) OR (@source==(\\"website_001002_catalog_index-rg-nc-prod-sitecore-prod\\",\\"website_001002_Category_index-rg-nc-prod-sitecore-prod\\"))\"},{\"field\":\"@catalogitembrand\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@catalogitemenvironment\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@catalogitemregionalavailability\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@prez45xtez120xt\",\"maximumNumberOfValues\":5,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@tags\",\"maximumNumberOfValues\":4,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetassettype\",\"maximumNumberOfValues\":3,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetbrand\",\"maximumNumberOfValues\":3,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetmarket\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetsolution\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]},{\"field\":\"@facetsearchcontentpagetype\",\"maximumNumberOfValues\":6,\"sortCriteria\":\"occurrences\",\"injectionDepth\":1000,\"completeFacetWithStandardValues\":true,\"allowedValues\":[]}]" }"""
|
||||
|
||||
# QUERY = "AAAAAAAAAAAA"
|
||||
|
||||
# b = SEARCHDATA.replace(r"{QUERY}", QUERY)
|
||||
|
||||
q = [i * 2 for i in range(10)]
|
||||
|
||||
d = {a : b for a,b in enumerate(q)}
|
||||
|
||||
print(q)
|
||||
|
||||
print(d)
|
||||
|
||||
def stalin_sort(a):
|
||||
b = sum(a)
|
||||
b /= len(a)
|
||||
return [b for _ in range(len(a))]
|
||||
|
||||
def mao_sort(a):
|
||||
i = 0
|
||||
while i < len(a) - 1:
|
||||
if a[i+1] < a[i]:
|
||||
del a[i]
|
||||
else:
|
||||
i += 1
|
||||
return a
|
||||
|
||||
print(stalin_sort(list(range(10))))
|
||||
print(mao_sort([1, 3, 2, 4, 5, 8, 7, 6, 9]))
|
||||
|
||||
# i l
|
||||
+234
-9
@@ -1,6 +1,8 @@
|
||||
import urx
|
||||
import math3d as m3d
|
||||
from scipy.optimize import fsolve
|
||||
import math
|
||||
import numpy as np
|
||||
import time
|
||||
import os
|
||||
import logging
|
||||
@@ -8,6 +10,9 @@ from urx.robotiq_two_finger_gripper import Robotiq_Two_Finger_Gripper
|
||||
import sys
|
||||
from util import fprint
|
||||
|
||||
|
||||
|
||||
|
||||
rob = None
|
||||
|
||||
|
||||
@@ -45,7 +50,7 @@ def init(ip):
|
||||
time.sleep(0.2)
|
||||
fprint("UR5 ready.")
|
||||
|
||||
def set_pos_abs(x, y, z, xb, yb, zb):
|
||||
def set_pos_abs(x, y, z, xb, yb, zb, threshold=None):
|
||||
global rob
|
||||
new_orientation = m3d.Transform()
|
||||
new_orientation.orient.rotate_xb(xb) # Replace rx with the desired rotation around X-axis
|
||||
@@ -60,7 +65,7 @@ def set_pos_abs(x, y, z, xb, yb, zb):
|
||||
new_trans.pos.y = y
|
||||
new_trans.pos.z = z
|
||||
#rob.speedj(0.2, 0.5, 99999)
|
||||
rob.set_pose(new_trans, acc=2, vel=2, command="movej") # apply the new pose
|
||||
rob.set_pose(new_trans, acc=2, vel=2, command="movej", threshold=threshold) # apply the new pose
|
||||
|
||||
def set_pos_rel_rot_abs(x, y, z, xb, yb, zb):
|
||||
global rob
|
||||
@@ -80,21 +85,241 @@ def set_pos_rel_rot_abs(x, y, z, xb, yb, zb):
|
||||
#rob.speedj(0.2, 0.5, 99999)
|
||||
rob.set_pose(new_trans, acc=0.1, vel=0.4, command="movej") # apply the new pose
|
||||
|
||||
def set_pos_abs_rot_rel(x, y, z, xb, yb, zb):
|
||||
global rob
|
||||
new_orientation = m3d.Transform()
|
||||
new_orientation.orient.rotate_xb(xb) # Replace rx with the desired rotation around X-axis
|
||||
new_orientation.orient.rotate_yb(yb) # Replace ry with the desired rotation around Y-axis
|
||||
new_orientation.orient.rotate_zb(zb) # Replace rz with the desired rotation around Z-axis
|
||||
|
||||
# Get the current pose
|
||||
trans = rob.getl()
|
||||
|
||||
# Apply the new orientation while keeping the current position
|
||||
new_trans = m3d.Transform(new_orientation.orient, m3d.Vector(trans[0:3]))
|
||||
new_trans.pos.x = x
|
||||
new_trans.pos.y = y
|
||||
new_trans.pos.z = z
|
||||
#rob.speedj(0.2, 0.5, 99999)
|
||||
rob.set_pose(new_trans, acc=0.1, vel=0.4, command="movej") # apply the new pose
|
||||
|
||||
|
||||
def is_safe_move(start_pose, end_pose, r=0.25):
|
||||
start_x, start_y = (start_pose[0], start_pose[1])
|
||||
end_x, end_y = (end_pose[0], end_pose[1])
|
||||
|
||||
try:
|
||||
m = (end_y-start_y)/(end_x-start_x)
|
||||
b = start_y - m*start_x
|
||||
# print('m = y/x =', m)
|
||||
# print('b =', b)
|
||||
except:
|
||||
m = (end_x-start_x)/(end_y-start_y)
|
||||
b = start_x - m*start_y
|
||||
# print('m = x/y =', m)
|
||||
# print('b =', b)
|
||||
|
||||
return r**2 - b**2 + m**2 * r**2 < 0
|
||||
|
||||
def cartesian_to_polar(x, y):
|
||||
r = np.sqrt(x**2 + y**2)
|
||||
theta = np.arctan2(y, x)
|
||||
return r, theta
|
||||
|
||||
def polar_to_cartesian(r, theta):
|
||||
x = r * np.cos(theta)
|
||||
y = r * np.sin(theta)
|
||||
return x, y
|
||||
|
||||
|
||||
def move_to_polar(start_pos, end_pos):
|
||||
global rob
|
||||
|
||||
# Convert to polar coordinates
|
||||
start_r, start_theta = cartesian_to_polar(start_pos[0], start_pos[1])
|
||||
end_r, end_theta = cartesian_to_polar(end_pos[0], end_pos[1])
|
||||
|
||||
# Interpolate for xy (spiral arc)
|
||||
n_points = 30
|
||||
r_intermediate = np.linspace(start_r, end_r, n_points)
|
||||
theta_intermediate = np.linspace(start_theta, end_theta, n_points)
|
||||
|
||||
# Interpolate for z (height)
|
||||
start_z = start_pos[2]
|
||||
end_z = end_pos[2]
|
||||
|
||||
z_intermediate = np.linspace(start_z, end_z, n_points)
|
||||
|
||||
# Interpolate for rz (keep tool rotation fixed relative to robot)
|
||||
|
||||
|
||||
curr_rot = rob.getl()
|
||||
|
||||
theta_delta = theta_intermediate[1]-theta_intermediate[0]
|
||||
|
||||
rx_intermediate = [curr_rot[5] + theta_delta*i for i in range(n_points)]
|
||||
|
||||
# curr_rot = rob.getj()
|
||||
# start_rz = curr_rot[5]
|
||||
# rot = end_theta - start_theta
|
||||
# end_base_joint = curr_rot[0]-start_theta + rot
|
||||
|
||||
# end_rz = curr_rot[0] + rot
|
||||
# # rob.movel([*polar_to_cartesian(end_r, end_theta), *rob.getl()[2:]], acc=2, vel=2)
|
||||
|
||||
# print('start_theta = ', math.degrees(start_theta))
|
||||
# print('end_theta = ', math.degrees(curr_rot[0]-start_theta+rot))
|
||||
# print('start_rz =', math.degrees(start_rz))
|
||||
# print('rot =', math.degrees(rot))
|
||||
# print('end_rz =', math.degrees(end_rz))
|
||||
|
||||
# rz_intermediate = np.linspace(start_rz, end_rz, n_points)
|
||||
|
||||
# Convert back to cartesian coordinates
|
||||
curr_pos = rob.getl()
|
||||
|
||||
intermediate_points = [[*polar_to_cartesian(r, theta), z, *curr_pos[3:]]
|
||||
for r, theta, z, rx in zip(r_intermediate,
|
||||
theta_intermediate,
|
||||
z_intermediate,
|
||||
rx_intermediate)]
|
||||
|
||||
# Move robot
|
||||
rob.movels(intermediate_points, acc=2, vel=2, radius=0.1)
|
||||
|
||||
|
||||
return rx_intermediate
|
||||
|
||||
def move_to_home():
|
||||
global rob
|
||||
|
||||
# Home position in degrees
|
||||
home_pos = [0.10421807948612624,
|
||||
-2.206111555015423,
|
||||
1.710679229503537,
|
||||
-1.075834511928354,
|
||||
-1.569301366430687,
|
||||
1.675098295930943]
|
||||
|
||||
# Move robot
|
||||
rob.movej(home_pos, acc=2, vel=2)
|
||||
|
||||
def normalize_degree(theta):
|
||||
# Normalizes degree theta from -1.5pi to 1.5pi
|
||||
multiplier = 1
|
||||
normalized_theta = theta % (math.pi * multiplier)
|
||||
|
||||
# Maintain the negative sign if the original angle is negative
|
||||
if theta < 0:
|
||||
normalized_theta -= math.pi * multiplier
|
||||
|
||||
# Return angle
|
||||
return normalized_theta
|
||||
|
||||
def get_joints_from_xyz_rel(x, y, z, initial_guess = (math.pi/2, math.pi/2, 0), limbs=(.422864, .359041, .092124)):
|
||||
# Get polar coordinates of x,y pair
|
||||
r, theta = cartesian_to_polar(x, y)
|
||||
|
||||
# Get length of each limb
|
||||
l1, l2, l3 = limbs
|
||||
|
||||
# Formulas to find out joint positions for (r, z)
|
||||
def inv_kin_r_z(p):
|
||||
a, b, c = p
|
||||
|
||||
return (l1*math.cos(a) + l2*math.cos(a-b) + l3*math.cos(a-b-c) - r, # r
|
||||
l1*math.sin(a) + l2*math.sin(a-b) - l3*math.sin(a-b-c) - z, # z
|
||||
a-b-c) # wrist angle
|
||||
|
||||
|
||||
# Normalize angles
|
||||
base, shoulder, elbow, wrist = [normalize_degree(deg) for deg in [theta, *fsolve(inv_kin_r_z, initial_guess)]]
|
||||
|
||||
# Return result
|
||||
return base, shoulder, elbow, wrist
|
||||
|
||||
def get_joints_from_xyz_abs(x, y, z):
|
||||
joints = get_joints_from_xyz_rel(x, y, z)
|
||||
|
||||
# Joint offsets
|
||||
# Base, Shoulder, Elbow, Wrist
|
||||
inverse = [1, -1, 1, 1]
|
||||
offsets = [0, 0, 0, -math.pi/2]
|
||||
|
||||
# Return adjusted joint positions
|
||||
return [o+j*i for j, o, i in zip(joints, offsets, inverse)]
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
#rob.movej((0, 0, 0, 0, 0, 0), 0.1, 0.2)
|
||||
#rob.movel((x, y, z, rx, ry, rz), a, v)
|
||||
init("192.168.1.145")
|
||||
fprint("Current tool pose is: ", rob.getl())
|
||||
#set_pos_rel_rot_abs(0, 0, -0.2, math.pi, 0, -math.pi)
|
||||
set_pos_abs(0.3, -0.2, 0.5, math.pi, 0, -math.pi)
|
||||
set_pos_abs(0, 0.2, 0.6, math.pi, 0, -math.pi)
|
||||
set_pos_abs(-0.5, -0.2, 0.4, math.pi, 0, -math.pi)
|
||||
#set_pos_rel_rot_abs(0, 0, 0, math.pi, 0, -math.pi)
|
||||
fprint("Current tool pose is: ", rob.getl())
|
||||
print("Current tool pose is: ", rob.getl())
|
||||
move_to_home()
|
||||
|
||||
home_pose = [-0.4999999077032916,
|
||||
-0.2000072960336574,
|
||||
0.40002172976662786,
|
||||
0,
|
||||
-3.14152741295329,
|
||||
0]
|
||||
|
||||
# time.sleep(.5)
|
||||
|
||||
p1 = [0,
|
||||
|
||||
0.6,
|
||||
.4,
|
||||
0.2226,
|
||||
3.1126,
|
||||
0.0510]
|
||||
|
||||
p2 = [0.171,
|
||||
-0.115,
|
||||
0.2,
|
||||
0.2226,
|
||||
3.1126,
|
||||
0.0510]
|
||||
|
||||
curr_pos = rob.getl()
|
||||
# up/down,
|
||||
# tool rotation
|
||||
# tool angle (shouldn't need)
|
||||
# rob.set_pos(p1[0:3], acc=0.5, vel=0.5)
|
||||
|
||||
# set_pos_abs(*home_pose)
|
||||
|
||||
|
||||
angles = get_joints_from_xyz_abs(0.3, 0.3, 0.3)
|
||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
||||
|
||||
angles = get_joints_from_xyz_abs(-0.3, -0.3, 0.7)
|
||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
||||
|
||||
angles = get_joints_from_xyz_abs(-0.3, 0.4, 0.2)
|
||||
rob.movej([*angles, *rob.getj()[4:]], acc=1, vel=1)
|
||||
|
||||
|
||||
# set_pos_abs(*p1)
|
||||
# move = move_to_polar(p1, p2)
|
||||
|
||||
|
||||
# for p in move:
|
||||
# print(math.degrees(p))
|
||||
# print("Safe? :", is_safe_move(p1, p2))
|
||||
|
||||
|
||||
# #set_pos_rel_rot_abs(0, 0, -0.2, math.pi, 0, -math.pi)
|
||||
# set_pos_abs(0.3, -0.2, 0.5, math.pi, 0, -math.pi)
|
||||
# set_pos_abs(0, 0.2, 0.6, math.pi, 0, -math.pi)
|
||||
# set_pos_abs(-0.5, -0.2, 0.4, math.pi, 0, -math.pi)
|
||||
# #set_pos_rel_rot_abs(0, 0, 0, math.pi, 0, -math.pi)
|
||||
|
||||
# print("Current tool pose is: ", rob.getl())
|
||||
# print("getj(): ", rob.getj())
|
||||
|
||||
# move_to_home()
|
||||
|
||||
rob.stop()
|
||||
os.kill(os.getpid(), 9) # dirty kill of self
|
||||
sys.exit(0)
|
||||
|
||||
@@ -123,7 +123,7 @@ class Logger(object):
|
||||
self.terminal = sys.stdout
|
||||
|
||||
def write(self, message):
|
||||
self.log.write(message)
|
||||
#self.log.write(message)
|
||||
#close(filename)
|
||||
#self.log = open(filename, "a")
|
||||
try:
|
||||
|
||||
+2
-1
@@ -1,6 +1,7 @@
|
||||
#!/bin/sh
|
||||
# change this to #!/bin/bash for windows
|
||||
|
||||
python -m venv ./venv
|
||||
python3 -m venv ./venv
|
||||
source ./venv/bin/activate
|
||||
|
||||
pip install --upgrade pip
|
||||
+117
-3
@@ -1,15 +1,61 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
|
||||
<head>
|
||||
<title>WebSocket Test</title>
|
||||
|
||||
<style>
|
||||
footer {
|
||||
background-color: #333;
|
||||
color: #fff;
|
||||
text-align: center;
|
||||
padding: 10px 0;
|
||||
position: fixed;
|
||||
bottom: 0;
|
||||
width: 100%;
|
||||
display: flex;
|
||||
justify-content: space-around;
|
||||
}
|
||||
|
||||
.service-box {
|
||||
width: 150px;
|
||||
padding: 10px;
|
||||
border-radius: 5px;
|
||||
}
|
||||
|
||||
.service-up {
|
||||
background-color: green;
|
||||
}
|
||||
|
||||
.service-down {
|
||||
background-color: red;
|
||||
}
|
||||
</style>
|
||||
|
||||
|
||||
<script>
|
||||
document.addEventListener("DOMContentLoaded", function() {
|
||||
|
||||
// class Service {
|
||||
// constructor(name, status) {
|
||||
// this.name = name
|
||||
// this.status = status
|
||||
// }
|
||||
// }
|
||||
|
||||
var updatedTime = new Date();
|
||||
// Initial status of services
|
||||
// var serviceA = new Service("234234", 'down');
|
||||
// var serviceBStatus = 'down';
|
||||
// var serviceCStatus = 'down';
|
||||
|
||||
document.addEventListener("DOMContentLoaded", function () {
|
||||
// Create WebSocket connection.
|
||||
const socket = new WebSocket('ws://localhost:9000');
|
||||
|
||||
// Connection opened
|
||||
socket.addEventListener('open', function (event) {
|
||||
console.log("Connected to WebSocket server");
|
||||
updatedTime = new Date();
|
||||
});
|
||||
|
||||
// Listen for messages
|
||||
@@ -19,6 +65,7 @@
|
||||
let message = document.createElement('li');
|
||||
message.textContent = "Received: " + event.data;
|
||||
messages.appendChild(message);
|
||||
updatedTime = new Date();
|
||||
});
|
||||
|
||||
// Send a message to the server
|
||||
@@ -28,15 +75,82 @@
|
||||
console.log('Message sent', message);
|
||||
}
|
||||
|
||||
// This function just sends a ping to make sure the server is there and it is able to responds
|
||||
function ping() {
|
||||
let message = `{ "call": "send", "type": "log", "data": "This is a ping!!" }`;
|
||||
socket.send(message);
|
||||
console.log('Message sent', message);
|
||||
}
|
||||
setInterval(ping, 1500);
|
||||
|
||||
// setInterval(() => {
|
||||
// updateServiceStatus('serviceA', 'down');
|
||||
// }, 2000);
|
||||
|
||||
|
||||
// Bind send message function to button click
|
||||
document.getElementById('sendMessage').addEventListener('click', sendMessage);
|
||||
});
|
||||
</script>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<h2>WebSocket Test</h2>
|
||||
<input type="text" id="messageInput" placeholder="Type a message...">
|
||||
<textarea rows="4" cols="50" id="messageInput" placeholder="Type a message..."> </textarea>
|
||||
<button id="sendMessage">Send Message</button>
|
||||
<p>Example JSON</p>
|
||||
<p>{ "type": "cable_map", "call": "request", "data": { } }</p>
|
||||
<p>{ "type": "log", "call": "send", "data": "123123" }</p>
|
||||
|
||||
<p>Messages/Logs</p>
|
||||
<ul id="messages"></ul>
|
||||
|
||||
<footer>
|
||||
<!-- <div id="serviceA" class="service-box"></div>
|
||||
<div id="serviceB" class="service-box"></div>
|
||||
<div id="serviceC" class="service-box"></div> -->
|
||||
<div id="clock"></div>
|
||||
|
||||
</footer>
|
||||
|
||||
<script>
|
||||
// // Function to update service status
|
||||
// function updateServiceStatus(service) {
|
||||
// // serviceId, status
|
||||
// var serviceElement = document.getElementById(service.serviceId);
|
||||
// // updateClock();
|
||||
|
||||
// if (service.status === 'up') {
|
||||
// serviceElement.innerHTML = '<h3>' + service.serviceId + '</h3><p>Running</p>';
|
||||
// serviceElement.classList.remove('service-down');
|
||||
// serviceElement.classList.add('service-up');
|
||||
// } else {
|
||||
// serviceElement.innerHTML = '<h3>' + service.serviceId + '</h3><p>Down</p>';
|
||||
// serviceElement.classList.remove('service-up');
|
||||
// serviceElement.classList.add('service-down');
|
||||
// }
|
||||
// }
|
||||
|
||||
|
||||
|
||||
// // Update service statuses
|
||||
// updateServiceStatus('node.js (for this page)', serviceAStatus);
|
||||
// updateServiceStatus('Python WebSocket', serviceBStatus);
|
||||
// updateServiceStatus('serviceC', serviceCStatus);
|
||||
|
||||
// Function to update clock
|
||||
function updateClock() {
|
||||
var now = new Date();
|
||||
now = now.getTime() - updatedTime.getTime();
|
||||
// console.log(now)
|
||||
document.getElementById('clock').textContent = 'Milliseconds Since Update: ' + now.toString().padStart(6, '0');
|
||||
}
|
||||
|
||||
// Update clock every second
|
||||
setInterval(updateClock, 100);
|
||||
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
|
||||
</html>
|
||||
Reference in new issue
Block a user